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ROAD SAFETY IN INDIA STATUS REPORT
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TRIPP
TRANSPORTATION RESEARCH AND INJURY PREVENTION PROGRAMME
INDIAN INSTITUTE OF TECHNOLOGY DELH I
WHO COLLABORATING CENTRE
ROAD SAFETY IN INDIA
STATUS REPORT
2015
Dinesh Mohan, Geetam Tiwari and Kavi Bhalla

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Transportation Research and Injury Prevention Programme
Indian Institute of Technology Delhi
Hauz Khas, New Delhi-110016
http://tripp.iitd.ernet.in/

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Road Safety in India
Status Report
Dinesh Mohan
Geetam Tiwari
Kavi Bhalla
Transportation Research & Injury Prevention Programme
Indian Institute of Technology Delhi
2015

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ROAD SAFETY IN INDIA: STATUS REPORT © TRIPP
WHO COLLABORATING VOLVO RESEARCH AND EDUCATIONAL FOUNDATION (VREF) CENTRE CENTRE OF EXCELLENCE
© Transportation Research & Injury Prevention Programme (TRIPP) Indian Institute of Technology Delhi
Transportation Research & Injury Prevention Programme – Road Safety in India Status Report (2015)
Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016 www.iitd.ac.in/-tripp
Contents may be reproduced with attribution to TRIPP.

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Table of Contents
Road Safety in India .......................................................................................................... 1
Status Report ................................................................................................................... 1
1. Introduction ................................................................................................................. 1
National road traffic injury fatality rate ..................................................................................... 1
Vehicle population .................................................................................................................... 1
Road traffic Crash and injury data – national level ..................................................................... 3
Recording of crashes ............................................................................................................................ 3
Reporting of crash data and analysis ................................................................................................... 4
International Comparison .......................................................................................................... 8
Data used in this report ........................................................................................................... 10
Injury and fatality data ...................................................................................................................... 10
Data from NCRB and MoRTH reports ................................................................................................ 12
Summary ................................................................................................................................. 13
2. Analysis of national data ............................................................................................. 17
National fatality rates .............................................................................................................. 17
Modal share of RTI fatalities .................................................................................................... 18
Age and sex distribution .......................................................................................................... 19
State wise analysis .................................................................................................................. 20
Summary ................................................................................................................................. 23
3. Urban safety ............................................................................................................... 25
City data .................................................................................................................................. 25
Million-plus cities ............................................................................................................................... 25
Details for selected cities ......................................................................................................... 30
Modal share of RTI fatalities .............................................................................................................. 30
Road user victim type and impacting vehicle/object ........................................................................ 31
Road traffic fatalities by type of road user and time of crash ........................................................... 32
Age of victims .................................................................................................................................... 33
Road user risk analysis ....................................................................................................................... 33
Conclusions from detailed city studies .............................................................................................. 35
Summary ................................................................................................................................. 35
4. Intercity highways ...................................................................................................... 37
Introduction ............................................................................................................................ 37
Traffic crashes on Indian Highways .......................................................................................... 37
Crash Patterns ......................................................................................................................... 38
Other studies ........................................................................................................................... 40
Summary ................................................................................................................................. 41

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5. Status of research in road safety ................................................................................. 43
Introduction ............................................................................................................................ 43
Systematic review of Indian research reports .......................................................................... 44
Results ............................................................................................................................................... 45
Summary ................................................................................................................................. 45
6. Way forward ............................................................................................................... 69
INTERNATIONAL KNOWLEDGE BASE FOR CONTROL OF ROAD TRAFFIC INJURIES ..................... 69
Results of systematic reviews ............................................................................................................ 69
THE WAY FORWARD ................................................................................................................ 72
Practice points ................................................................................................................................... 72
Institutional arrangements ................................................................................................................ 73
National Data Base and Statistical Analysis Systems ......................................................................... 76
Establish safety departments within operating agencies .................................................................. 76
Fund establishment of multidisciplinary safety research centres at academic institutions. ............. 76
References ..................................................................................................................... 79

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1. Introduction
NATIONAL ROAD TRAFFIC INJURY FATALITY RATE
According to official statistics 141,526 persons were killed and 477,731 injured in road traffic
crashes in India in 2014 (NCRB, 2015). However, this is probably an underestimate, as not all injuries are
reported to the police (Gururaj, G., 2006, Mohan, D. et al., 2009). The actual numbers of injuries
requiring hospital visits may be 2,000,000-3,000,000 persons. The basis for these estimates is given in
later section. The situation in India is worsening and road traffic injuries (RTI) have been increasing over
the past twenty years (Figure 1). This may be partly due to the increase in number of vehicles on the
road but mainly due to the absence of coordinated evidence-based policy to control the problem. These
data show that the number of fatalities has continued to increase at about seven per cent a year over
the past decade except over the last couple of years.
VEHICLE POPULATION
Figure 2 shows the growth of personal motor vehicles registered in India by year according to
official data (Transport Research Wing, 2014). The official registration data over represent the number
of vehicles in actual operation because vehicles that go off the road due to age or other reasons do not
get removed from the records. This is because personal vehicle owners pay a lifetime tax when they buy
a car and do not de-register their vehicles when they junk them.
Figure 1. Road traffic deaths in India 1970 though 2014 (Source: NCRB).

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The actual number of personal vehicles on the road is estimated to be 50%-55% of those on the
records (Expert Committee on Auto Fuel Policy, 2002, Goel, R. et al., 2015, Mohan, D. et al., 2014). The
number of cars and motorised two-wheelers (MTW) registered in 2012 was 21.6 and 115.4 million
respectively. If we assume that 55% of them were
actually on the road, then the actual number of
cars and MTWs present on the roads would be 10.6
and 57.7 million respectively, and total ownership 6
per 100 persons in 2012. Table 1 shows the
personal vehicle ownership and official road traffic
fatality rates per 100 population for ten countries
including India (W.H.O., 2015). This table shows
eight countries with much higher vehicle ownership
rates than India but lower RTI fatality rates. This
indicates that increase in vehicle ownership need
not be a reason for increase in fatality rates.
Table 1. Personal vehicle ownership and
official road traffic fatality rates
per 100 population (Source : W.H.O.,
2015)
* Vehicle ownership rate adjusted for
number of actual vehicles on road. See
text.
Figure 2. Cars and MTW registered in India by year (Source: Transport Research
Wing 2014).
Note: Actual numbers on the road would be considerably less, see text.

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ROAD TRAFFIC CRASH AND INJURY DATA – NATIONAL LEVEL
Recording of crashes
As in most countries, traffic police are the source of official government statistics related with road
traffic injuries in India. The main sources of traffic crash data at the national level are the annual reports
published by the National Crime Record Bureau (Ministry of Home Affairs) and the annual publication of
the Ministry of Road Transport & Highways (MoRTH) titled Road Accidents In India. The basic
information for both these reports comes from all the police stations in the country based on the cases
reported to them. A brief description of the process through which statistics are compiled at the
national level is as follows. When the occurrence of a traffic crash is brought to the notice of a police
station (by anyone involved in the crash; anyone who knows about the crash; or a police officer who
comes to know about the crash) the information reported is recorded in a First Information Report
(FIR). This sets the process of ‘criminal justice’ in motion and the police take up investigation of the case.
After an FIR has been filed the contents of the FIR cannot be changed except by a ruling from the High
Court or the Supreme Court of India. After the investigation is complete a case file is prepared which
records the details of the crash as determined by the police department (which need not necessarily
tally with those in the FIR) and the ‘offending party’ (as determined by the investigation) is charged with
offences under provisions of the Indian Penal Code and the Motor Vehicles Act of India 1988 (Ministry of
Road Transport and Highways, 1988). Some of the relevant provisions are:
Indian Penal Code
Section 279. Rash driving or riding on a public way.
Section 304A. Causing death by negligence.
Section 336. Act endangering life or personal safety of others.
Section 337. Causing hurt by act endangering life or personal safety of others.
Section 338. Causing grievous hurt by act endangering life or personal safety of others.
Motor Vehicles Act
Section 185. Driving by a drunken person or by a person under the influence of drugs.
Section 184. Driving dangerously.
The above provisions are the deciding factor in how a police officer has to assign blame to one of
the participants in a crash (usually one of the drivers). This is an important issue, as the ‘cause’ of the
crash has to be recorded as a ‘fault’ of a driver under one or more of the above provisions in most
cases. This procedure ensures that 80% or more of the cases get attributed to ‘human error’ and there is
no place for understanding crashes as a result of a host of factors including vehicle, road and
infrastructure design.

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Reporting of crash data and analysis
Statistical tables that summarize key information about road traffic injuries are reported by police
stations to their district’s Crime Records Bureau, from where aggregated statistical tables flow upwards
to the state’s crime records bureau, and the National Crime Records Bureau (NCRB), which publishes the
official statistics for the country (e.g. NCRB, 2015). Police-based statistics underreport road traffic deaths
and injuries in many countries (Bhalla, K. et al., 2014, Derriks, H. M. and Mak, P. M., 2007, Rosman, D. L.
and Knuiman, M. W., 1994, W.H.O., 2015). But, it has been usually assumed that in India while many
injury cases may be taken to private hospitals and not get recorded, the police reports capture most
road traffic deaths based on local investigations for the following reasons:
For serious injury cases and deaths on the spot, or before arrival at a hospital, FIRs are filed with the
police especially if those involved want to pursue a court case or claim insurance compensation.
Under Section 165 of the The Motor Vehicles Act 1988 (Ministry of Road Transport and Highways,
1988), all State Governments have been authorised to set up Motor Accident Claims Tribunals for
adjudicating upon claims for compensation in respect of road traffic crashes involving death, bodily
injury or property damage. Claims can be made by the person who has sustained the injury, by
owner of damaged property, and by legal representatives of the deceased. Victims or their legal
representatives in the case of hit-and-run cases can also make claims. For this reason a large
number of lawyers look out for such cases in hospitals or police stations and promise legal help to
make the claim.
When a RTI victim is admitted to a government hospital and declared as a RTI case, the patients’
details are recorded as a ‘Medico Legal Case’ by a police officer stationed at the hospital. If the
victim dies in the hospital, irrespective of the length of stay in the hospital, the body is released only
after a mandatory autopsy and the relevant details are provided to a police officer seconded by the
relevant police station.
Section 146 of the Indian Motor Vehicles Act 1988 (Ministry of Road Transport and Highways, 1988)
requires that all motor vehicles (except those owned by the Central or State Governments)
operating in a public space must be insured against third party risks.
Fatality estimates
However, the extent of underreporting of road traffic deaths in India is not well understood. For
instance, such a record linkage study in Bangalore covering 23 hospitals found that police data only
missed 5% of road traffic deaths (Gururaj, G., 2006). Recent studies that have estimated national road
traffic deaths using data from the health sector suggest the possibility of higher underreporting by
traffic police. The Global Burden of Disease (GBD) study estimates that there were 264,000 (95%CI:
214,000-321,000) deaths in India in 2013 almost twice the deaths reported by traffic police (GBD 2013
Mortality and Causes of Death Collaborators, 2015). GBD estimates of causes of death in India are based
on estimates derived from comparative analysis of several national health data systems, including the
Survey of Causes of Death (SCD), the Medical Certification of Cause of Death (MCCD), and the Million
Death Study (MDS). With the notable exception of the MDS, the other data sources have large
statistical biases (e.g. MCCD only tracks deaths from participating urban hospitals), and may not be a
reliable source of information. The MDS, however, provides estimates of causes of death in India using a

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large nationally representative mortality survey. The most recent data from the study is for the year
2001-2003 and includes over 122,000 deaths from all causes in 1.1 million homes (Hsiao, M. et al.,
2013). The MDS estimated 183,600 (95%CI:173,800-193,400) deaths in the year 2005, about 47%-64%
greater than the NCRB-reported official statistics for 2005.
In view of the reasons given earlier, it is possible that most of the critical and immediately fatal
cases get recorded in crowded urban areas of India and those who die in government hospitals also
enter the official statistics. Therefore, it is likely that the fatality statistic for urban areas in India may be
underestimated by say 10%-20%. According to the MoRTH 61% of the RTI fatalities occur in rural areas
and it is possible that a larger number of cases go unreported on rural roads. In a review of European
and Japanese RTI data linkage, Lai, C.-H. et al. (2006) report that total RTI victims dying within 30 days of
the crash are about 30% greater than those dying on the first day. If we assume that a significant
proportion of fatalities that occur many days after the crash in rural areas are missed (that would reduce
the number by less than 30% of the total deaths) and a smaller proportion of deaths on the spot or on
the way to the hospital are missed, then we can expect underreporting to be around 50% of rural
deaths. Overall, this would imply that the underreporting of fatalities in India may be less than 50%. This
would indicate that the MDS estimate of RTI fatalities being about 47%-64% greater than the NCRB-
reported official number may be closer to the truth than the W.H.O. or GBD estimates. However, this
issue cannot be resolved to satisfaction until such time when the recording of traffic crashes is done in
an manner open to public scrutiny and mechanisms are established to audit the quality of official
statistics of road traffic deaths on a regular basis.
Non fatal injury estimates
While there is uncertainty among experts about the level of underreporting of road traffic deaths,
all experts agree that police reports are a poor source of information for non-fatal injury statistics in
India. Police databases typically report a small fraction of the non-fatal road traffic injuries that occur in
most countries, including most developed countries (Derriks, H. M. and Mak, P. M., 2007, International
Traffic Safety Data and Analysis Group, 2011). According to a recent IRTAD (2014) report police records
alone are usually inadequate to carry out analysis on the nature and consequences of serious injuries
because the reported number is underestimated. A report from France also states that under-reporting
is inversely and strongly associated with injury severity: there is a clear gradient of decreasing
probability of being police-reported with decreasing injury severity, 33-38% for severe injuries and 15%
for minor injuries (Amoros, E. et al., 2008, Amoros, E. et al., 2006).
Studies from India also indicate similar trends. A study done in Bangalore shows that while the
number of traffic crash deaths recorded by the police may be reasonably reliable, the total number of
injuries is grossly underestimated (Gururaj, G., 2001). According to that study, the ratio of injured
people reporting to hospitals to that killed was 18:1. It is important to note that even this ratio would be
an underestimate as among those injured many others would have taken treatment at home or from
private medical practitioners. Another detailed study done in rural northern India recorded all traffic-
related injuries and deaths through bi-weekly home visits to all households in 9 villages for a year and
showed that the ratio between critical, serious and minor injuries was 1:29:69 (Varghese, M. and
Mohan, D., 1991).

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International experience is somewhat similar. In 2013 in the U.S.A. police-reported motor vehicle
traffic crashes included 30,057 persons killed, 1,591,000 injured (probably an underestimate), and
4,066,000 damage only crashes giving a ratio of 1:53:135 respectively (National Center for Statistics and
Analysis, 2015). Other studies report ratios between deaths:serious-injuries:minorinjuries as 1:13:102
(Martinez, R., 1996) and 1:14:80 (Evans, L., 1991). A more recent report states that in Netherlands the
ratio of the estimated number of fatalities and hospitalised persons for the year 2000 was 15.7 (Derriks,
H. M. and Mak, P. M., 2007).
Using the epidemiological evidence from India and other countries where better records are
available, a conservative estimate can be made that the ratios between deaths, injuries requiring
hospital treatment, and minor injuries in India are likely to be about 1:15:50. If the estimate of road
traffic fatalities in India (official) in the year 2014 is taken as 141,526, then the estimate of serious
injuries requiring hospitalization would be 2,122,890 and that for minor injuries 7,076,300. The official
estimate of non-fatal RTI in 2014 was 477,731, which probably underestimates injuries requiring
hospitalisation by a factor of 4 and all injuries by a factor of 20.
The probability that a non-fatal injury is registered by police likely depends on whether there is a
need to establish that the injury occurred due to the fault of a particular party, for instance, in order to
claim financial compensation. This implies that the probability of a non-fatal crash being included in
police reporting varies based on a wide range of factors (e.g. if multiple parties were involved, extent of
property damage) that may have little to do with injury severity. Therefore police data should not be
used for studying the epidemiology of non-fatal road traffic injuries in the country.
Ranking in causes of death and population health
Tables 2 and 3 show the leading causes of death and population health loss by age groups in India in
2013 (GBD 2013 Mortality and Causes of Death Collaborators, 2015). Population health loss is measured
Disability Adjusted Life Years (DALYs) lost, which are defined as the sum of years of potential life lost due
to premature mortality and the years of productive life lost due to disability. These tables show that
injuries resulting from road traffic crashes impose a substantial burden on the health of the population
in India, especially among young adults. Road traffic injuries are the 8th leading cause of death in India
and the 9th leading cause of overall health loss. Road traffic injuries impose a public health burden that
exceeds that of many infectious diseases (e.g. malaria) and non-communicable diseases (e.g. diabetes)
that are acknowledged to be important health issues for the country. The net health loss from road
traffic injuries in India is approximately three times that from maternal disorders. Among young adults
aged 15-49 years, road traffic injuries are the fourth leading cause of death and health loss. Men are
injured at a much higher rate than women. Among young men aged 15-49 years, road traffic injuries are
the leading cause of health loss.
Figure 3 shows that over the last two decades the burden of road traffic injuries in India has
increased even while that due to many infectious diseases has declined. In 1990, road traffic injuries
were the 16th leading cause of health loss. However, in 2013 they were ranked 9th due to an increase of

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Table 2. : Top 10 leading causes of death in India in 2013 (Source GBD 2013 Mortality
and Causes of Death Collaborators, 2015)
<5 Years
5-14 years
15-49 years
50-69 years
70+ years
All Ages
1
Neonatal
encephalopathy
Intestinal
infections
Tuberculosis
Ischemic heart
disease
Ischemic heart
disease
Ischemic heart
disease
2
Neonatal
preterm birth
Diarrheal diseases
Ischemic heart
disease
COPD
COPD
COPD
3
Lower respiratory
infection
Lower respiratory
infection
Self-harm
Cerebrovascular
disease
Cerebrovascular
disease
Cerebrovascular
disease
4
Neonatal sepsis
Drowning
Road Injuries
Tuberculosis
Diarrheal
diseases
Tuberculosis
5
Other neonatal
Malaria
Fire & heat
Hypertensive
heart disease
Hypertensive
heart disease
Diarrheal diseases
6
Diarrheal
diseases
Road Injuries
Cerebrovascular
disease
Diarrheal
diseases
Tuberculosis
Lower respiratory
infection
7
Congenital
anomalies
Tuberculosis
HIV/AIDS
Diabetes
Diabetes
Self-harm
8
Intestinal
infections
Leishmaniasis
Diarrheal
diseases
Asthma
Lower respiratory
infection
Road Injuries
9
STDs
Animal contact
Lower respiratory
infect
Pneumo-
coniosis
Asthma
Hypertensive
heart disease
10
Protein-energy
malnutrition
Congenital
anomalies
Intestinal
infections
Interstitial lung
disease
Interstitial lung
disease
Diabetes
Table 3. Top 10 Leading causes of health loss in India in 2013* (Source GBD 2013
Mortality and Causes of Death Collaborators, 2015)
<5 Years
5-14 years
15-49 years
50-69 years
70+ years
All Ages
1
Neonatal
encephalopathy
Iron-deficiency
anemia
Tuberculosis
Ischemic heart
disease
Ischemic heart
disease
Ischemic heart
disease
2
Neonatal preterm
birth
Intestinal
infections
Self-harm
COPD
COPD
COPD
3
Lower respiratory
infections
Diarrheal diseases
Ischemic heart
disease
Cerebrovascular
disease
Cerebrovascular
disease
Lower respiratory
infections
4 Neonatal sepsis
Lower respiratory
infections
Road Injuries
Tuberculosis
Sense organ
diseases
Tuberculosis
5 Diarrheal diseases Skin diseases
Low back & neck
pain
Diabetes
Diarrheal
diseases
Neonatal preterm
birth
6
Other neonatal
Malaria
Depressive disorders
Sense organ
diseases
Diabetes
Neonatal
encephalopathy
7
Congenital
anomalies
Drowning
Migraine
Low back &
neck pain
Tuberculosis Diarrheal diseases
8
Protein-energy
malnutrition
Migraine
COPD
Diarrheal
diseases
Hypertensive
heart disease
Cerebrovascular
disease
9
Intestinal
infections
Depressive
disorders
Fire & heat
Hypertensive
heart disease
Asthma
Road injuries
10
STDs
Congenital
anomalies
Skin diseases
Road Injuries Alzheimer disease
Low back &
neck pain
*Health loss is measured in Disability Adjusted Life Years Lost, DALYs.

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54% in disability adjusted life years (DALYs) lost to road traffic injuries. In contrast, overall health loss
due to lower respiratory infections declined by 65% and diarrheal diseases by 65%.
INTERNATIONAL COMPARISON
The 2015 W.H.O. Global Status Report on Road Safety provides two sets of road traffic death
statistics for every country. These are the official government statistics (usually based on police data)
reported by each country to W.H.O., and estimates produced by W.H.O. through statistical analysis of
national health statistics (including vital registration). Figure 4 shows the official RTI fatality rates for
different countries plotted against per capita income of the countries and Figure 5 shows the rates for
the same countries as estimated by the W.H.O. (W.H.O., 2015). These figures show that for more than
half the countries the W.H.O. estimates are greater than 1.3 times the official rates reported by the
countries. The ratio of the W.H.O. estimate and official rate for different countries is shown in Figure 6.
This ratio for India is 1.5 as the official reported rate is 11.0 deaths per 100,000 persons and the W.H.O.
estimate 16.6. These data indicate that some countries with similar incomes have possibly lower levels
of under-reporting and some with higher income levels have also have higher levels of under-reporting.
This suggests that country income level cannot be taken as excuse for inefficient data collection systems
and it is possible for countries like India to set up professionally managed data collection systems that
give a reasonably accurate estimate of RTI fatalities.
Both the official country data and W.H.O. estimates (Figures 4 and 5) show that there are countries
with incomes similar to India that have RTI fatality rates lower than India. Again demonstrating that lack
of finances does not necessarily mean that a society has to have absence of safety on the roads. At the
same time, many countries much richer than India have much higher fatality rates. Therefore, we cannot
Figure 3. Leading causes of health loss in 1990 and 2013 (Source GBD 2013 Mortality
and Causes of Death Collaborators, 2015).

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depend on growth in national income alone to promote road safety. It will be necessary to put in place
evidence based national safety policies to ensure improvements in traffic safety.
Figure 4. RTI fatality rate per 100,000 persons reported by different countries vs
per capita income (Source: W.H.O., 2015).
Figure 5. W.H.O. estimates of RTI fatality rate per 100,000 persons for different
countries vs per capita income (Source: W.H.O., 2015).

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DATA USED IN THIS REPORT
Injury and fatality data
Table 4 shows the different indicators generally used for assessing RTI issues (Mohan, D. et al.,
2006). Out of all these indicators we only use number of fatalities and fatalities per 100,000 population
for most of our analysis. Only fatality statistics from NCRB and MoRTH reports are used for analysis. We
assume that though the Indian fatality statistics may suffer from some underestimation there may not
be a systematic bias in recording of fatalities of specific road users. In such a situation the fatality
statistics should be adequate for predicting trends and relative comparisons between different risk
factors. Fatalities per 100,000 population is used for all comparisons because the population statistics
are expected to be reliable and the index is a good indicator of the health burden on the population.
Fatalities per population can also be used as proxy for risk of death per trip as international experience
suggests that the average number of trips per person remains relatively stable over time, incomes and
place (Knoflacher, H., 2007). Knoflacher further states that average trip rates in cities around the world
vary from 2.8 to 3.8. That total trip rates do not vary much and generally remain between 3 and 4 trips
per person per day has been supported by many studies around the world (Giuliano, G. and Narayan, D.,
2003, Hupkes, G., 1982, Santos, A. et al., 2011, Transport for London, 2011, Zegras, C., 2010)
Non fatal injury data are not used at all in this report as they are not likely to give any useful
insights. Injury and accident statistics suffer from a very high margin of underestimation as discussed in
an earlier section. In addition, international experience suggests that injury and non-fatal crash data can
suffer from many other biases such as relative under-reporting for pedestrian and bicycle injuries, night-
Figure 6. Ratio of W.H.O. estimates and official RTI
fatality rate per 100,000 persons for different countries
vs per capita income (Source: W.H.O., 2015).

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time crashes, hit and run cases, and crashes on rural roads (Abay, K. A., 2015, Amoros, E. et al., 2006,
Derriks, H. M. and Mak, P. M., 2007, Rosman, D. L. and Knuiman, M. W., 1994).
Fatalities per 10,000 vehicles and fatalities per vehicle-kilometre have not been used in this report
except for a few specific comparisons. The official number for number of vehicles in India and cities are
all overestimates (explained in an earlier section), and therefore, cannot be used for any calculations. In
addition the indicator fatalities per 10,000 vehicles should not be used for comparison if the modal
shares differ form place to place (Mohan, D. and Tiwari, G., 2000). The number of fatalities per 100,000
population always decrease as the number of vehicles per capita increase in a society even when no
specific safety measures have been put in place (Adams, J., 1987).
Table 4. Examples of commonly used indicators of the road traffic injury problem
(Source: Mohan, D. et al., 2006).

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Data from NCRB and MoRTH reports
Table 5 shows a summary of the data that have been used for this report from the NCRB and
MoRTH publications (NCRB, 2015, Transport Research Wing, 2015) and the reasons why some data have
not been used. Since non-fatal crash and injury data and motor vehicle registration statistics are not
reliable as explained in earlier sections, no table that includes these statistics has been used for analysis
in the present report.
Items 4 and 5 in Table 5 for the NCRB report and items 16 and 17 in the MoRTH report refer to the
following details:
1.
Number of Persons affected by Road Accidents (Culpability vis-à-vis Fatality) during 2014
(Mode of Transport wise)
2.
Number of Persons Died in Road Accidents and Mode of Transport (Culpability vis-à-vis
Fatality) – 2014 (State/UT & City wise)
3.
Total number of accidents, persons killed and injured based on the involvement by vehicle
type during 2014
4.
Total Number of Persons Killed in Road Accidents in terms of Road User Categories: 2014
The reader of these tables is not able to understand what these tables mean. In item 1 above
(NCRB) the classification is done according to number of ‘Offending Driver/Pedestrian’ and number of
victims who died by road user category. If we just take the case of fatal pedestrians in the table, there
are 747 ‘offending’ pedestrians and 5,943 ‘victim’ pedestrians, giving a total of 6,690 pedestrian deaths
(4.7 per cent of the total) who died in India in 2014. The table in item 2 above (NCRB) also gives the
same number for offenders and victims as pedestrians. In item number 4 above (MoRTH) the report
gives the total number of pedestrians killed as 8.8 per cent. These are very low proportions for
pedestrian fatalities in India. Work done by independent researchers using police reports (same sources
are used by above reports) from different cities and highway locations show very different results as
shown in Table 6. In the nationally representative mortality survey of 1.1 million homes Hsiao, M. et al.
(2013) reported that pedestrians and motorcyclists constituted 37 and 20 per cent of total RTI fatalities
respectively. These data make it clear that the proportion of pedestrian fatalities in India cannot be as
low as 8.8 per cent. In all probability the pedestrian fatalities may comprise around 40 per cent of all
fatalities. If the pedestrian fatality proportions are so low in these official reports, then it stands to
reason that proportions and numbers for all other road users will also be wrong. More data will be
presented to strengthen this argument in subsequent sections of this report. The numbers and
proportions of different road users killed and injured as mentioned in the NCRB and MoRTH reports are
erroneous and cannot be used for any analysis.
Although it is clear that NCRB and MoRTH reports do not provide valid statistical tabulations on
types of road-users killed, researchers have successfully generated reasonable estimates by inspecting
detailed police reports. Such case files are paper-based and usually available at the police station with
jurisdiction over the location where the crash occurred or at the district’s crime records bureau office.
Researchers who are able to acquire requisite permissions need to undertake a tedious process of
working with multiple police stations to acquire copies of all police reports and extracting information.

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Clearly this cannot be done over a large region or prospectively to track changes over time without the
use of substantial resources. Nevertheless, collecting such data even for a small region or a short period
of time can provide valuable insights to researchers and policy makers interested in addressing local
road safety issues.
The data regarding cause of crashes and persons responsible for crashes as reported in the NCRB
and MoRTH reports is also not reliable. As mentioned earlier it is the IPC codes that decide how a police
officer assigns blame to one of the participants in a crash (usually one of the drivers). This is an
important issue, as the ‘cause’ of the accident has to be recorded as a ‘fault’ of a driver under one or
more of the 4 or 5 provisions.
This procedure ensures that 80% or more of the cases get attributed to ‘human error’ and there is
no place for understanding crashes as a result of a host of factors including vehicle, road and
infrastructure design. For example the NCRB report attributes Driving under Influence of drugs and
alcohol as 1.6 per cent of all crashes. Independent studies done estimate alcohol and drugs as a
contributing factor in more than 20-30 per cent of the crashes (Arora, P. et al., 2013, Das, A. et al., 2012,
Esser, M. B. et al., 2015, Gururaj, G., 2006, Mishra, B. K. et al., 1984). If one of the risk factors is
underestimated by a large margin than the estimates for all the other ‘causes’ become unreliable.
Therefore, tables dealing with cause of road traffic crashes should not be used for any analysis or
policymaking.
The summary of data usability in Table 5 suggests that only about 20 percent of the tables in NCRB
and MoRTH reports are usable for road safety analysis and policy making and the rest 80 per cent
include unreliable information, which should not be used. This situation can only be improved by
MoRTH with a complete revamp of the data collection systems in collaboration with the Ministry of
Home Affairs and establishment of a professional data and analysis department (National Transport
Development Policy Committee, 2014a).
SUMMARY
According to official statistics 141,526 persons were killed and 477,731 injured in road traffic crashes
in India in 2000 (NCRB, 2015). However, this is probably an underestimate, as not all injuries are
reported to the police
The number of fatalities has continued to increase at about seven per cent a year over the past
decade except over the last couple of years.
The number of cars and motorised two-wheelers (MTW) registered in 2012 was 21.6 and 115.4
million respectively. The official registration data over represent the number of vehicles in actual
operation because vehicles that go off the road due to age or other reasons do not get removed
from the records. The actual number of personal vehicles on the road is estimated to be 50%-55%
of those on the records.

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Table 5. Summary of RTI data used (or not used) from Indian official reports.

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The extent of underreporting of road traffic deaths in India is not well understood. The Global Burden of
Disease (GBD) study estimates that there were 264,000 (95%CI: 214,000-321,000) deaths in India in
2013 almost twice the deaths reported by traffic police. The Million Death Study estimate for fatalities is
about 47%-64% greater than the NCRB-reported official statistics and may be closer to the truth.
Police data should not be used for studying the epidemiology of non-fatal road traffic injuries in the
country. The official estimate of non-fatal RTI in 2014 was 477,731, which probably underestimates
injuries requiring hospitalisation by a factor of 4 and all injuries by a factor of 20.
Over the last two decades the burden of road traffic injuries in India has increased even while that
due to many infectious diseases has declined. In 1990, road traffic injuries were the 16th leading
cause of health loss, however, in 2013 they were ranked 9th.
Country income level cannot be taken as excuse for inefficient data collection systems and it is
possible for countries like India to set up professionally managed data collection systems that give a
reasonably accurate estimate of RTI fatalities.
Lack of finances does not necessarily mean that a society has to have absence of safety on the
roads. We cannot depend on growth in national income alone to promote road safety. It will be
necessary to put in place evidence based national safety policies to ensure improvements in traffic
safety.
The numbers and proportions of different road users killed and injured as mentioned in the NCRB
and MoRTH reports are erroneous and cannot be used for any analysis.
Tables dealing with cause of road traffic crashes should not be used for any analysis or policy making
Only about 20 percent of the tables in NCRB and MoRTH reports are usable for road safety analysis
and policy making and the rest 80 per cent include unreliable information, which should not be
used. This situation can only be improved by MoRTH with a complete revamp of the data collection
systems in collaboration with the Ministry of Home Affairs and establishment of a professional data
and analysis department.
Since the ‘accident’ and ‘injury’ data are not reliable at all, it would be useful if the MoRTH and
NCRB reports separate fatal and non-fatal cases in all tables included in the reports.
Table 6. Modal share of road traffic fatalities in Mumbai, Delhi and four rural
highway locations in India.
Notes: (1) Average of data 2008-2012, adapted from (Mani, A. and Tagat, A., 2013);
(2) Source: (Delhi Traffic Police, 2014); (3) Data from locations on 34 national and state
highways in India, (Tiwari, G. et al., 2000); (4) Source (Tiwari, G., 2015)

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2. Analysis of national data
NATIONAL FATALITY RATES
Figure 7 shows the official estimates for total number of RTI fatalities and fatalities per 100,000
persons in India from 1970 to 2013 (NCRB). The total number of deaths in 2014 was 12 times greater
than in 1970 with an average annual compound growth rate (AACGR) of 6%, and the fatality rate in 2014
was 5.2 times greater than in 1970 with an AACGR of 3.9%. There have been a few periods when the
growth in RTI fatalities has decreased briefly and for a small amount, but the causes for the same are
not known. However, it is known that motor vehicle crash rates have a tendency of decreasing along
with a downturn in the national economy for the following reasons (International Traffic Safety Data and
Analysis Group, 2015):
Economic downturns are associated with less growth in traffic or a decline in traffic volumes.
Economic downturns are associated with a disproportionate reduction in the exposure of high-risk
groups in traffic; in particular unemployment tends to be higher among young people than people in
other age groups.
Reductions in disposable income may be associated with more cautious road user behaviour, such
as less drinking and driving, lower speed to save fuel, fewer holiday trips.
This may explain the reason why the rate of growth in fatalities slowed down in India in the late
1990s and in the period 2010-2014 as these were also periods of low economic growth. There is no
indication of a long term trend indicating that the increase in fatalities is going to reduce significantly in
the near future. Two modelling exercises have attempted to predict the time period over which we
might expect fatality rates to decline in different countries (Koornstra, M., 2007, Kopits, E. and Cropper,
Figure 7. Total number of RTI fatalities and fatalities per
100,000 persons in India (Source: NCRB).

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M., 2005). Kopits and Cropper use the past experience of 88 countries to model the dependence of total
number of fatalities on fatality rates per unit vehicle, vehicles per unit population and per capita income
of the society. . Thus, based on projections of future income growth, they predict that fatalities in India
will continue to rise until 2042 before reaching a total of about 198,000 deaths and then begin to
decline. Koornstra uses a cyclically modulated risk decay function model, which in a way incorporates
the cyclically varying nature of a society’s concerns for safety, and predicts an earlier date of 2030 for
the start of decline in RTI fatalities in India. If we assume the average growth rate of 6% per year
declines to nil by 2030, then we can expect about 200,000 fatalities in 2030 before we see a reduction in
fatalities.
The above models use the experience of high-income countries (HIC) over the past decades in
calculating relationships between vehicle ownership levels and risk of death per vehicle. Therefore, the
models presuppose the onset of decline at specific per-capita income levels if the past road safety
policies of HICs are followed in the future in countries like India. Based on an analysis of RTI fatality
trends in Europe and the USA, Brüde, U. and Elvik, R. (2015) suggest that:
A country does not at any time have an “optimal” or “acceptable” number of traffic fatalities.
In countries with a growing number of traffic fatalities, one cannot count on this trend to turn by
itself; active policy interventions are needed to turn the trend.
If this is true, then the only way the decline of RTI fatalities can be brought forward in time is to
institute additional India specific road safety policies that are new and more effective.
MODAL SHARE OF RTI FATALITIES
Table 7 shows estimates of the share of different road user fatalities by MoRTH (Transport Research
Wing, 2015), W.H.O. (W.H.O., 2015), Hsiao, M. et al. (2013) and the authors of the present report. The
MoRTH estimate is based on police records and the W.H.O. estimate on reports provided by the Indian
government (based on police records), Hsiao et al. estimates are based on a nationally representative
mortality survey of 1.1 million homes in India which reported 122,000 RTI deaths, and the author’s (of
this report) estimate is based an analysis of police records obtained from 8 cities (Delhi Traffic Police,
2014, Mani, A. and Tagat, A., 2013, Mohan, D. et al., 2013) and a number of locations on rural roads
around the country (Gururaj, G. et al., 2014,
Tiwari, G., 2015, Tiwari, G. et al., 2000).
The MoRTH and W.H.O. estimates are
similar because they come from the same source
and suggest that pedestrian and bicycle fatalities
constitute only 12%-13% of the total RTI
fatalities in the country. The Hsiao, M. et al.
(2013) and the authors’ estimates for share of
pedestrian and bicycle fatalities is 45% and 39%
respectively. This is a very large gap between the
Table 7. Estimates of the share of
different road user fatalities by MoRTH
(Transport Research Wing, 2015), W.H.O.
(W.H.O., 2015), Hsiao, M. et al. (2013)
and the authors of the present report.

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official and researcher’s estimates. Since Hsiao et al. have estimated the fatalities from interviews with a
statistically representative sample of households in India, it is likely that their number is closer to the
truth. The author’s estimate is made from detailed analysis of police reports from various parts of the
country, and therefore, may be considered as based on official data, though from a smaller sample in
the country. Since the Hsiao and authors’ estimates are similar, it is quite certain that these estimates
are more reliable than those in NCRB, MoRTH and W.H.O. reports. The error in the official reports
probably arises from wrong coding of the victims’ status and the procedure needs to reviewed carefully
and revised. The error in the official reports probably arises from a wrong coding of the victims’ status
and the procedure needs to reviewed carefully and revised.
AGE AND SEX DISTRIBUTION
Figure 8 shows the RTI fatalities and population distribution by age in India and USA (National
Center for Statistics and Analysis, 2015, NCRB, 2015, Office of the Registrar General & Census
Commissioner, 2015). In India the proportion of fatalities for the age group 15-59 is greater than their
representation in the population and less for the age groups 0-14 years (1:7.9 of the population) and
>59 years (1:1.4 of the population). In the USA children <15 years have a much lower representation in
RTI fatalities as compared to their ratio in the population (1:5.1) but all the other age groups have a
slightly higher representation.
It is not known why children’s (<15 years) and the elderly (>59 years) involvement rate in India is
lower than that in the USA when a large number of children walk, cycle and travel on overloaded
vehicles to school in India. It is possible that the exposure rate of the elderly in India is less than for
those in the USA and this may explain their lower involvement. However, reasons for these differences
need further study. As the health status of the Indian population improves the age structure would
become more similar to that in the USA, and this would require that we focus more on policies for
ensuring safety for older persons on the roads.
In India the ratio of female:male fatalities in 2014 was 1:5.9 and the ratio in the USA in 2013 was
1:2.4. One of the reasons why the female fatality ratio in India is lower than that in the USA is a lower
Figure 8. RTI fatality distribution and population distribution by age in India
and USA (Source: NCRB, 2015 and National Center for Statistics and Analysis,
2015).

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participation rate in formal employment in India (World Bank, 2015a). As the participation rate of
women in formal work increases in India it may be necessary to understand if any specific safety
measures have to be instituted to ensure women’s safety on the road.
STATE WISE ANALYSIS
Figure 9 shows the total number of fatalities by state and territory from 1971 to 2014. The
states of Nagaland and Sikkim and Union Territories Lakshadweep, Daman & Diu, Andaman and Nicobar
Islands and Dadra and Nagar Haveli have not been included in the chart as they reported less than 100
fatalities in 2014. Manipur, Meghalaya, Mizoram, Nagaland, Sikkim, Tripura are small hill states, and the
union territories of Andaman and Nicobar Islands, Dadra and Nagar Haveli, Daman and Diu,
Lakshadweep, Puducherry, Chandigarh and Delhi union territories which are generally small and the last
two are cities. Therefore, these regions can have different traffic and fatality patterns.
Andhra shows a decline in the number of fatalities between 2011 and 2014 because the state was
divided in two states (Andhra and Telangana) in 2014. The total of fatalities in Andhra and Telangana in
2014 was 1,4814 as compared to 1,518 in undivided Andhra in 2011. In almost all the large states
fatalities more than doubled between 1991 and 2014. In Maharashtra, Orissa, Rajasthan, Tripura
fatalities increased by 4-6 times, and in Gujarat, Punjab, Haryana and Assam 8-10 times during the same
period.
Figure 10 shows the fatalities per 100,000 population for states and union territories in 1996 and
2014. Fatality rates per million population increased in most regions except in the north eastern hill
states and the cities of Delhi and Chandigarh (union territories). The increase was 40%-50% in Madhya
Pradesh, Manipur, Tamil Nadu, Meghalaya, Uttar Pradesh; 60%-100% in Himachal Pradesh, West Bengal,
undivided Andhra Pradesh, Rajasthan, Karnataka and Orissa; and more than 100% in Haryana, Sikkim,
Assam and Punjab. The reasons for these differences are not known. However, these data do indicate
that there are states with high rates and those with low rates in all regions of the country.
Figure 11 shows the association between fatalities per 100,000 persons (2014) and per capita
income of states and union territories (2013-2014). These data show that many states with high per
capita incomes have similar fatality rates as states with low incomes and that fatality rates do not seem
to have a strong correlation with income.
Figure 12 shows the fatality rate per 100,000 persons (2014) as a function of population density in
states and union territories. There does not seem to be any strong correlation of fatality rates with
population density.

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* Andhra Pradesh was divided into two states (Andhra Pradesh and Telangana) in 2014, this
is why Andhra Pradesh shows a decline in fatalities in 2014.
Figure 9. Total number of RTI fatalities by state and union territory from 1971
to 2014 (Source: NCRB).

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Figure 10. RTI fatalities per 100,000 persons for states and union territories
in 1996 and 2014 (Source NCRB).

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Since the above data show that RTI fatality rates in states and union territories do not seem to be
influenced strongly by location in the country, state income or density, it suggests that state RTI fatality
rates may be more influenced by infrastructure availability, vehicle modal shares, road design, and
enforcement. It appears that if fatality rates have to be reduced in India, much more attention will have
to be given to street and highway designs and enforcement issues that have influence on vulnerable
road user safety than has been the practice up to now. This will probably require a great deal of
research and innovation as designs and policies currently being promoted do not seem to be having the
desired effect in improving road safety.
SUMMARY
The total number of deaths in 2014 was 12 times greater than in 1970 with an average annual
compound growth rate (AACGR) of 6%, and the fatality rate in 2014 was 5.2 times greater than in
1970 with an AACGR of 3.9%.
If we assume the average growth rate of 6% per year declines to nil by 2030, then we can expect
about 200,000 fatalities in 2030 before we see a reduction in fatalities.
The only way the decline of RTI fatalities can be brought forward in time is to institute additional
India-specific road safety policies that are new and more effective.
The NCRB, MoRTH and W.H.O. estimate of pedestrian and bicycle fatalities comprising 13% of the
total RTI fatalities is not correct and the researchers’ estimates that this number may be in the range
39%-45% is more reliable.
The error in the official reports regarding types of road users killed probably arises from a wrong
coding of the victims’ status and the procedure needs to reviewed carefully and revised.
It is not known why children’s (<15 years) and the elderly (>59 years) involvement rate in India is
lower than that in the USA when a large number of children walk, cycle and travel on overloaded
vehicles to school in India. Reasons for these differences need further study.
Figure 11. RTI Fatalities per 100,000
persons (2014) vs per capita income
(2013-2014)of states and union
territories.
Figure 12. RTI fatalities per 100,000
persons (2014) vs population density in
states and union territories.

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In almost all the large states fatalities more than doubled between 1991 and 2014. In Maharashtra,
Orissa, Rajasthan, and Tripura, fatalities increased by 4-6 times, and in Gujarat, Punjab, Haryana and
Assam 8-10 times during the same period.
Since RTI fatality rates in states and union territories do not seem to be influenced strongly by
location in the country (culture), state income or density, it suggests that state RTI fatality rates may
be more influenced by infrastructure availability, vehicle modal shares, road design, and
enforcement.
Much more attention will have to be given to street and highway designs and enforcement issues
that have influence on vulnerable road user safety than has been the practice up to now. This will
probably require a great deal of research and innovation as designs and policies currently being
promoted do not seem to be having the desired effect in improving road safety.

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3. Urban safety
CITY DATA
According to the MoRTH report (Transport Research Wing, 2015) 56,663 (40.6%) fatalities took
place in urban areas and 83,008 (59.4%) in rural areas. These data suggest that the urban RTI fatality
share is slightly higher than the estimated urban population share (32%) in 2014 (World Bank, 2015b).
However, details of fatalities and vehicles registered are reported only for cities with populations
greater than one million. The latest report includes details for 50 million plus cities recording a total of
16,611 fatalities (29% of urban RTI deaths). In this chapter we only use total fatality data for cities from
the NCRB and MoRTH reports (other data are not reliable) and detailed analysis based on data reported
in research studies.
Million-plus cities
Data for 50 million plus cities are reported in MoRTH and NCRB reports published in 2015 (NCRB,
2015, Transport Research Wing, 2015). Figure 13 shows total deaths reported in these cities for the
years 1996, 2006 and 2014. Data for cities that did not have populations > 1 million in earlier years is not
available. These data show that the number of deaths increased in almost all the cities between 1996
and 2006 and most cities between 2006 and 2014. Significant reduction in number of deaths are seen in
large cities (> 5 m population): Bengaluru, Chennai, Delhi, Hyderabad and Mumbai. The reasons for
these reductions are not known. It is possible that increases in traffic congestion leading to decreases in
vehicle speeds may have contributed to this.
Figure 14 shows the annual RTI deaths per 100,000 population in million plus cities for 1991-2011.
For some cities data for earlier years was not available as their population was less than 1 million. Data
for 2014 are not shown as population estimates for all cities were not available. In 2011 the average
death rate for all cities combined was 14.7 per 100,000. In 2011 the highest rates are indicated for
Thrissur, Asansol and Kollam (> 40 deaths per 100,000 population) and lowest for Ahmedabad and Surat
(<6 deaths per 100,000 population). The death rates for Asansol and Kollam are abnormally high at (>
60) and it is possible that these statistics may be in error and represent the whole district and not the
cities. For 36 cities where the data can be compared between 2001 and 2011 only 12 saw a decrease in
fatality rates. For most of them the decrease was less than 30%. This is quite an alarming situation, as in
a third of these cities the death rate increased by more than 50% in a period of 10 years. Since a vast
majority of the victims in these cities are vulnerable road users (see next section), one possible cause
could be increases in vehicle speeds. The probability of pedestrian death is estimated at less than 10% at
impact speeds of 30 km/h and greater than 80% at 50 km/h, and the relationship increase in fatalities
and increase in impact velocities is governed by a power of four (Koornstra, M., 2007, Leaf, W. A. and
Preusser, D. F., 1999).

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Figure 13. Annual number of RTI deaths in million plus cities 1996-2011. For some
cities data for earlier years not available as their population was less than 1
million (Source: NCRB). Continued on next page.

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Figure 13 (Continued rom previous page). Annual number of RTI deaths in million
plus cities 1996-2011. For some cities data for earlier years not available as
their population was less than 1 million (Source: NCRB).

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Figure 14. Annual RTI deaths per 100,000 population in million plus cities 1991-
2011. For some cities data for earlier years not available as their population was
less than 1 million (Source: NCRB). Continued on next page.

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Figure 14 (Continued rom previous page). Annual RTI deaths per 100,000 population
in million plus cities 1991-2011. For some cities data for earlier years not
available as their population was less than 1 million (Source: NCRB).

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DETAILS FOR SELECTED CITIES
Reliable data regarding fatalities modal shares and other details roe road traffic crashes are not
available from official reports. In this section we report data that have been obtained by researchers
from police stations in different cities in India. These are official data as maintained in the records of
police departments and analysed to obtain trends and relationships.
Modal share of RTI fatalities
Figure 15 shows the proportion of road traffic fatalities by road user
type in six Indian cities (Mohan, D. et al., 2013). The total number of
vulnerable road user deaths in the six cities range between 84% and
93%, car occupant fatalities between 2% and 4%, and occupants of
three-wheeled scooter taxis (TSTs) less than 5% per cent, except in
Vishakhapatnam where the proportion for the latter is 8%. Figure 16
shows that these total proportions are similar to those in the megacities
Mumbai and Delhi (Delhi Traffic Police, 2014, Mani, A. and Tagat, A.,
2013). Table 8 shows that these proportions are very different from
those reported by NCRB (2015). Clearly the NCRB and MoRTH estimates
for RTI modal shares suffer from erroneous coding and should not be
used.
However, the relative proportions of pedestrian fatalities are
smaller in these cities and motorised two-wheeler (MTW) fatalities greater than those in the megacities.
This may be because the proportion of MTW ownership is higher in these smaller cities than that in the
Figure 15. Proportion of road traffic fatalities by road user
type (vehicle occupants, bicyclists and pedestrians) in 6 Indian
cities (* number in parentheses represents the official RTI
fatality rate in the city in 2011).
Table 8. Proportion
of pedestrian
fatalities according
to NCRB (2015)

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megacities. Helmet use by MTW riders is not enforced in any of these cities though the use is mandated
by the Motor Vehicles Act 1988 of India (Ministry of Road Transport and Highways, 1988). The high rate
of MTW fatalities can be reduced significantly if the existing mandatory helmet laws are enforced in all
the cities and laws introduced for compulsory daytime running lights for MTWs (Elvik, R., 1993, Elvik, R.,
1996, Peden, M. et al., 2004, Radin Umar, R. S. et al., 1996).
Ludhiana and Amritsar have a higher proportion of bicyclists killed than the other cities. Anecdotal
evidence suggests that these cities have higher bicycle use than the other cities surveyed, but we cannot
confirm this.
Road user victim type and impacting vehicle/object
Figure 17 shows the data for the distribution of road traffic fatalities by road user category versus
the respective impacting vehicles/objects for two of the six cities, Agra and Bhopal. These two cities are
representative of the patterns in all the six cities and have been selected as the fatality rates per
100,000 persons are different with Vishakhapatnam at 24 and Bhopal at 14 in 2011. In both the cities
the largest proportion of fatalities for all road user categories (especially vulnerable road users) are
associated with impacts with buses and trucks and then cars. This is true for the other four cities also.
The most interesting feature emerging from this analysis is the involvement of MTW as impacting
vehicles for pedestrian, bicyclist and MTW fatalities in cities. The proportion of pedestrian fatalities
associated with MTW impacts ranges from 8 to 25 per cent of the total. The highest proportion was
observed in Bhopal. The involvement of MTWs as impacting vehicles in VRU fatalities may be due to the
fact that pedestrians and bicyclists do not have adequate facilities on arterial roads of these cities and
they have to share the road space (the curb side lane) with MTW riders.
Figure 16. Proportion of road traffic fatalities by road user
type (vehicle occupants, bicyclists and pedestrians) in Delhi
and Mumbai.

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Road traffic fatalities by type of road user and time of crash
Figure 18 shows the fatalities by road user category and time of day in Agra and Ludhiana. These
two cities have been selected as they have different fatality rates and traffic characteristics were studied
in greater details in these two cities. Pedestrian and bicycle fatalities have high rates earlier in the
morning. This may be because this class of road users start for work earlier than those using motorised
transport and vehicle speeds may be higher at this time. The total fatality rate remains somewhat
similar between the hours of 10:00 and 18:00 and a strong bimodal distribution is not observed. This
could be because school and working timings are reasonably staggered. Schools start around 08:00 in
the morning and close at 14:00 and some of them have a second shift. Private offices open between
Figure 17. Fatal RTI victim road user category and impacting vehicles/objects in
Vishakhapatnam and Bhopal (numbers in bars represent number of cases).
Figure 18. Fatal RTI victim road user category and impacting vehicles/objects in
Vishakhapatnam and Bhopal (numbers in bars represent number of cases).

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08:00-09:00, government offices between 09:00-10:00 and shops around 11:00. Most shops stay open
up to 21:00 and restaurants up to 23:00. The data also show that MTW and pedestrian deaths are
relatively high at 20:00-23:00 when we would expect traffic volumes to be low. The details of risk factors
for high rate of vulnerable road user fatalities at night are not available for all cities but surveys done in
Agra and Ludhiana suggest that due to lower volumes vehicle velocities can be higher at night, adequate
street lighting is not present, and there is very limited checking of drivers under the influence of alcohol
(Malhan, A., 2014). The situation would be similar in the other four cities except in Vadodara where
there is prohibition of alcohol use by law.
Age of victims
In the detailed study done for six cities the data coders marked out the cases where ‘children’ were
mentioned as victims in the text in the police reports. In general these would be persons younger than 4
years. For Agra, Amritsar, Bhopal and Vishakhapatnam (total fatal cases in sample: 2,788) a total of 78
cases (2.8%) were identified of which 13 were MTW occupants (0.5%) and 53 were pedestrians (1.9%).
This is less than the national rate of 7% for persons 0-14 years. This may be partly because some of
those below 14 years may not have been classified as children. Lower exposure rates for children may
account for this, however, this explanation does not seem to be adequate enough to explain these very
low rates, especially children on motorcycles. This phenomenon needs further study.
Road user risk analysis
Risk of fatality has been calculated using different indices to understand the role of different motor
vehicles, personal risk per trip by different modes and the risk different vehicles present to society.
Occupant risk per hundred thousand vehicles
Figure 6 shows the number of motor vehicle occupant fatalities per 100,000 vehicles for four cities
where the vehicle data were relatively reliable. This has been obtained by dividing the total number of
occupant fatalities for each vehicle type estimated for 2011 divided by the number of vehicles of that
type estimated for the city (corrected for overestimates). These data show that occupant fatalities per
vehicle decrease in the following order – TST:MTW:Car. Occupant fatality rates for MTW and TST
occupants are 2-3 and 3-5 times higher that for
cars respectively. The high rates per vehicle for
TSTs would also be because they carry a much
larger number of passengers in the day as
compared to MTWs and cars. The MTW fatality
rate is not more than 5 times the fatality rate
for cars in any of the four cities. For Europe and
USA this ratio is reported to be in the range of
10-20 (Peden, M. et al., 2004). We do not have
detailed data to explain with certainty why this
risk ratio for MTW riders should be lower in
Indian cities where the helmet law is not being
Figure 19. Motor vehicle occupant
fatalities per 100,000 vehicles.

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enforced. The possible reason could be that the majority of motorcycles sold are of low power (<150 cc),
the riders are not motorcycling enthusiasts but regular commuters, and also the effect of safety in
numbers (Bhalla, K. and Mohan, D., 2015).
Personal fatality risk per 10 million
trips
The personal fatality risk has been
calculated by dividing the vehicle specific
occupant fatality rate by estimates of average
number of occupants carried by each vehicle
per day. The numbers assumed are (based on 3
trips per day for MTW and cars with occupancy
of 1.3 and 2.3 per trip respectively): MTW – 4,
TST – 60, Car – 7 (Chanchani, R. and Rajkotia, F.,
2012, Mohan, D. and Roy, D., 2003, Wilbur
Smith Associates, 2008). The results of these
calculations are shown in Figure 20. It is clear
that given the present trip lengths for each
vehicle type, the MTW rider is 3-6 times more at risk than a car occupant. The MTW fatality rates per
trip in Agra and Vishakhapatnam are much higher than the other three cities. The reasons for this are
not known at present. At a personal level, risk per trip seems to be lowest for TST occupants in all the
cities for the assumed occupancy rates and number of trips per day.
Fatalities associated with each vehicle type accounting for exposure
Figure 21 shows all the fatalities that each vehicle type is associated with per 100,000-vehicle km
per day. The following values have been assumed for distances travelled per day.
Car: 50 km
TST: 150 km
MTW: 25 km
This includes occupant fatalities and those of road users other than the vehicle occupant. For
example, if a motorcycle hits a pedestrian and
the pedestrian dies, then the pedestrian death
will also be associated with the motorcycle.
This index gives a rough idea of the total
number of fatalities that is expected for each
vehicle type given the present traffic conditions
and mode shares. These figures indicate that
the relative low rate for TSTs as compared to
cars is due to the higher exposure of TSTs per
day. These indices appear to indicate that per
km of travel TSTs, MTWs and cars are very
roughly equally harmful for society under
Figure 20.Occupant fatality rates per 10
million trips.
Figure 21. All fatalities associated with
each vehicle category per 100,000 vehicle
km (estimated).

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present conditions. Out of these three vehicles motorcycle riders bear the highest risk and it is very
important to focus on their safety (helmet use and daytime running lights). TSTs need improvement for
safety of occupants as well as the VRUs it impacts.
Conclusions from detailed city studies
The total number of vulnerable road user deaths in the six cities range between 84% and 93%, car
occupant fatalities between 2% and 4%, and TST occupants less than 5%, except in Vishakhapatnam
where the proportion for the latter is 8%. These total proportions are similar to those in the megacities
Mumbai and Delhi. Helmet use by MTW riders is not enforced in any of these cities though the use is
mandated by the Motor Vehicles Act 1988 of India. The high rate of MTW fatalities can be reduced
significantly if the existing mandatory helmet laws are enforced in all the cities and laws introduced for
compulsory daytime running lights for MTW.
The largest proportion of fatalities for all road user categories (especially vulnerable road users) are
associated with impacts with buses and trucks and then cars in Vishakhapatnam and Bhopal. This is true
for the other four cities also. The most interesting feature emerging from this analysis is the involvement
of MTW as impacting vehicles for pedestrian, bicyclist, and MTW fatalities in all the six cities. The
proportion of pedestrian fatalities associated with MTW impacts ranges from 8 to 25 per cent of the
total. The involvement of MTWs as impacting vehicles in VRU fatalities may be due to the fact that
pedestrians and bicyclists do not have adequate facilities on arterial roads of these cities and they have
to share the road space (the curb side lane) with MTW riders. Provision of separate and adequate
pedestrian and bicycle lanes in all cities is a prerequisite for RTI control.
MTW and pedestrian deaths are relatively high at 20:00-23:00 when we would expect traffic
volumes to be low. Surveys done in Agra and Ludhiana suggest that due to lower volumes vehicle
velocities can be higher at night, adequate street lighting is not present, and there is very limited
checking of drivers under the influence of alcohol. This suggests that traffic calming methods, better
street lighting and alcohol control would be necessary to control RTI during night time.
Involvement of young children in fatal crashes appears to be low and the reasons for this are not
clear need to be studied. Relative risk of occupants of MTW is the highest but not as high in the high-
income countries. However, the estimated risk to society posed by cars as estimated from total
involvement in fatal crashes seems to be greater than that posed by motorcycles and thee-wheeled
scooter taxis. Further research is necessary to determine the veracity of these findings.
SUMMARY
Data show that the number of deaths increased in almost all the cities between 1996 and 2006 and
most cities between 2006 and 2014.
Significant reduction in number of deaths were seen in large cities (> 5 m population): Bengaluru,
Chennai, Delhi, Hyderabad and Mumbai. The reasons for these reductions are not known. It is
possible that increases in traffic congestion leading to decreases in vehicle speeds may have
contributed to this.

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In 2011 the average annual death rate for all cities combined was 14.7 per 100,000 persons.
For 36 cities where the data can be compared between 2001 and 2011 only 12 saw a decrease in
fatality rates. For most of them the decrease was less than 30%. This is quite an alarming situation,
as in a third of these cities the death rate increased by more than 50% in a period of 10 years.
The total number of vulnerable road user deaths in all eight cities studies range between 84% and
93%, car occupant fatalities between 2% and 4%. These proportions are very different from those
reported by NCRB (2015). The NCRB and MoRTH estimates for RTI modal shares appear to suffer
from erroneous coding and should not be used.
In all the cities studied the largest proportion of fatalities for all road user categories (especially
vulnerable road users) are associated with impacts with buses and trucks and then cars. The
proportion of pedestrian fatalities associated with MTW impacts ranges from 8 to 25 per cent of the
total.
MTW and pedestrian deaths are relatively high at 20:00-23:00 when we would expect traffic
volumes to be low. Surveys done in Agra and Ludhiana suggest that due to lower volumes vehicle
velocities can be higher at night, adequate street lighting is not present, and there is very limited
checking of drivers under the influence of alcohol.
Occupant fatalities per vehicle decrease in the following order – TST:MTW:Car.

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4. Intercity highways
INTRODUCTION
Government of India has launched a major programme to expand and improve highways in India
since 2000. Seventy thousand kilometres of National Highways (NH) are maintained by the National
Highway Authority (NHAI). Through the National Highway Development Programme (NHDP), NHAI is
upgrading nearly 49,000 km of NH. Twenty four thousand km of highways have been upgraded.
Upgradation includes increasing the number of lanes (e.g. from four to six), converting undivided roads
to divided highways, and adding paved shoulders to 2 lane roads. The major motivation behind highway
upgradation has been improving inter-city and interstate connectivity through capacity enhancement as
well as improving highway safety.
TRAFFIC CRASHES ON INDIAN HIGHWAYS
Highway safety remains a major concern after nearly 50% of completion of NHDP projects. Figure
22 shows the proportion of RTI fatalities on different categories of roads and the proportion of road
length for each category (MoRTH, 2015, Transport Research Wing, 2015). NH comprise only 15% of the
total length of roads in India but account for 33% of the fatalities. Fatality rate per km of road is the
highest on expressways (1.8 deaths per km per year) and NH come next with 0.58 deaths per km
annually (Figure 23). The relatively high death rate on NH could be because they carry a significant
proportion of passenger and freight traffic (MoRTH, 2015, Transport Research Wing, 2014). However,
since details of vehicle km travelled on various categories of highways are not available, it is not possible
to make a comparison based on exposure rates. Expressways had a length of only 1,000 km in the
country in 2014 but a high death rate of 1.8 per km per year. This should be a cause for concern.
Recent research studies have reported fatal crash rates (fatalities per km) for three NH (NH-1, NH-8
and NH 2) as 3.08 crashes/km/year on six-lane NH-1, followed by 2.54 crashes/km/year on four-lane NH-
Figure 22. Proportion of RTI fatalities
in 2014 on different categories of roads
and the proportion of road length for
each category (Source: MoRTH, 2015,
Transport Research Wing, 2015).
Figure 23. RTI fatality rate per km of
road per year for different category of
roads (Source: MoRTH, 2015, Transport
Research Wing, 2015).

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24 bypass, and 0.72 crashes/km/year on two-lane NH-8 (Naqvi, H. M. and Tiwari, G., 2015).
CRASH PATTERNS
A detailed study of 35 selected locations on highways reported traffic crash patterns using two
different methods to collect road crash data (Tiwari, G. et al., 2000):
1. Analysis of road accident First Information Reports (FIRs) for a period of one year from the
police stations in the area.
2. Analysis of data collected by specially trained informers for a period of three months for a 50-
km section of the highway at each location. The informers were instructed to travel over the
section every day and collect information on accidents occurring on that stretch.
The two methods of data collection gave the following insights:
1. The data available from the police records misses out many minor injury and single vehicle
accidents.
2. The data collected by the informers missed many fatal accidents involving pedestrians and
bicyclists. This is probably because the vehicles involved in these cases are often able to drive
away because they do not suffer much damage. As such there is no evidence left at the crash
scene and the informer may miss the case when he travels on the stretch of the highway after a
day.
A more recent study investigated police reports of fatal crashes on selected locations on 2 lane
NH8, 4lane NH24, and 6laneNH1 (Tiwari, G., 2015). The results for modal shares of those killed on these
locations are given in Table 9. In the 1998 study of highways the proportions of motor vehicle occupants
and vulnerable road users were 32 and 68 per cent respectively, whereas the numbers for urban areas
were 5%-10% vehicle occupants and the rest were vulnerable road users (Table 9). Though the motor
vehicle fatalities are higher on highways than in urban areas, as would be expected, the differences are
not as high as in western countries. A vast majority (68%) of those getting killed on highways in India
comprise vulnerable road users and this fact should be the guiding factor in future design
considerations. Data from three highway segments from 2009-2013 show a similar pattern. Pedestrian
and MTW proportions are very high except on the six-lane highway where the proportion of truck
Table 9. Modal share of road traffic fatalities in Mumbai, Delhi and four rural
highway locations in India.

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victims is much higher.
Table 10 shows the impacting vehicle in fatal crashes on highways. This shows that as far as vehicle
involvement is concerned the patterns are very similar in both cases. Trucks and buses are involved in
about 70% of fatal crashes in both rural and urban areas. This is again very different from western
countries where there are significant differences in rural and urban crash patterns.
The above aggregate data indicate that crash patterns on rural and urban roads are more similar
than would be expected based on western experience. This is probably because of the settlement
patterns in our countryside where there is high-density habitation along the highways, which results in
the use of many sections of the highway as urban arterial roads. Therefore, safety would be enhanced
mainly by separating local and through traffic on different roads, or by separating slow and fast traffic
on the same road, and by providing convenient and safe road crossing facilities to vulnerable road users.
Table 11 shows the distribution of crash types by type of highway and type of crash (Tiwari, G. et al.,
2000). The statistics for single lane may not be representative because of the small sample size. It is
interesting to note that there are no major differences in the proportion of overturn accidents in 2-lane
and 4-lane roads. Similarly there are no major differences in the proportion of head-on collisions on
different types of 2-lane roads. However, it is very surprising that on 4-lane divided roads head-on
collisions comprise 19% of the crashes. Divided 4-lane roads are justified on the basis that these would
eliminate the occurrence of head-on collisions. The fact that head-on collisions are common on divided
roads means that many vehicles are going the wrong way on divided highways. This is probably because
tractor and other vehicles travel the wrong way when they exit from roadside businesses and the cut in
the median is too far away. This issue needs to be considered seriously and guidelines need to be
Table 10. Proportion of impacting vehicle type in fatal crashes on selected
highway locations
.
Table 11. Crash types by type of highways, 1997-2000(Tiwari, G. et al., 2000).

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developed for the placement of cuts in the median or for providing under/overpasses for vehicles at
convenient locations.
Table 11 and 12 describe the types of crashes that occured on different types of highways in 1997-
2000 and in the last five years (2010-2014). The types of crashes that occur on hill roads, where run-off
crashes dominate, are clearly different from those that occur on other types of highways.
Rear-end collisions (including collisions with parked vehicles) are high on all types of highways
including 4-lane highways. This shows that even though more space is available on wider roads rear-end
crashes do not reduce. This is probably due to poor visibility of vehicles rather than road design itself.
Countermeasures would include making vehicles more visible with the provision of reflectors and
roadside lighting wherever possible.
Impacts with pedestrians and bicycles have a high rate on all roads including 4-lane and six-lane
divided highways. The proportion is lower on 2-lane highways with wider (2.5m) paved shoulders (see
Table 10). For these type of crashes to be reduced the following countermeasures need to be
experimented with: physical segregation of slow and fast traffic, provision of 2.5m paved shoulders with
physical separation devices like cats eyes, provision of frequent and convenient under-passes (at the
same level as surrounding land) for pedestrians, bicycles and other non-motorised transport, and traffic
calming in semi-urban and habited areas.
Collisions with fixed objects are low only on 4-lane divided highways. Provision of adequate run-off
area without impediments and design of appropriate medians are obviously very important on
highways.
OTHER STUDIES
Saija, K. K. and Patel, C. D. (2002)and Shrinivas, P. L. L. (2004) analysed road traffic crash data
obtained from the police records for the state of Gujarat and Tamil Nadu respectively at a macro level
but considered national highway data in combination with other roads. Kumar, R. P. et al. (2004) have
done a study of crashes on Dindigul-Palani section of NH 209 and report that about 50% of the crashes
involved buses and 25% of the victims were pedestrians and that two stretches of the highway had a
higher number of crashes than other sections. A study of crashes on NH-8 passing through Valsad
District found that crashes were increasing at a rate of 3.9% annually, rear end crashes comprised 40%
and that heavy vehicles were involved in the largest number of cases (Saija, K. K. and Patel, C. D., 2002).
Table 12. Crash types by type of highways 2010-2014 (Tiwari, G., 2015).

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These studies inform us that highways have some stretches that can be identified as being associated
with a higher number of crashes than other locations; heavy vehicles are involved in a larger number of
crashes than lighter vehicles; and vulnerable road users comprise a significant proportion of those killed
on national highways. However, none of these studies provide information on speeds, modal shares and
highway design and their association with road traffic fatalities.
Shaheem, S. et al. (2006) have published two detailed studies on road traffic crashes on the Aluva-
Cherthala and Pallichal-Kaliyikkavila sections NH- 47 in Kerala. For the Pallichal-Kaliyikkavila section the
authors evaluate the impact of four-laning of 38.5 km of the highway on road traffic crashes. They also
report that heavy vehicles had a high involvement and pedestrians and cyclists were 28% of the victims.
The most important finding of this study is that the fatality rate based on the volume capacity ratio is
more than three times higher on the four-lane section compared to two lane sections. The fatality rate
based on population density of the associated regions was higher on the four-lane section compared to
two lane sections and conversion of two-lane to four-lane resulted in increase in the fatality rate from
41-51 % on the high crash rate sections.
In summary, it is clear that crash rates on intercity roads are high and not reducing. The
construction of 4 lane divided highways (without access control) does not seem to have reduced fatality
rates and vulnerable road users still account for a number of crashes. The mix of slow and fast moving
vehciles on highways creates serious problems as speed differentials can account for significant
increases in crash rates. High incidence of fatal rear-end crashes indicates a problem of lack of visibility
and conspicuity of parked vehicles. There is clearly a strong case for redesign of intercity roads with
separation of slow and fast modes. The needs of road users on local short distance trips will have to be
accounted for to reduce the probability of head-on crashes due to them going the wrong way on divided
highways by provision of safe road crossings at convenient distance. Solutions for many of these issues
are not readily available and research studies necessary for evolution of new designs.
SUMMARY
National Highways comprise only 15% of the total length of roads in India but account for 33% of the
fatalities. Fatality rate per km of the road is the highest on expressways (1.8 deaths per km per year)
and NH come next with 0.58 deaths per km annually
Expressways had a length of only 1,000 km in the country in 2014 but a high death rate of 1.8 per
km per year. This should be a cause for concern.
A vast majority (68%) of those getting killed on highways in India comprise vulnerable road users
and this fact should be the guiding factor in future design considerations.
Data from three highway segments from 2009-2013 show a similar pattern. Pedestrian and MTW
proportions are very high except on six-lane highway where the proportion of truck victims is much
higher.
Trucks and buses are involved in about 70 percent of fatal crashes in both rural and urban areas.
This is again very different from western countries where there are significant differences in rural
and urban crash patterns.

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On 4-lane divided roads head-on collisions comprise 19% of the crashes. Divided 4-lane roads are
justified on the basis that these would eliminate the occurrence of head-on collisions. The fact this is
not occurring means that many vehicles are going the wrong way on divided highways. This is
probably because tractor and other vehicles go the wrong way when they exit from roadside
businesses and the cut in the median is too far away.
Rear end collisions (including collisions with parked vehicles) are high on all types of highways
including 4-lane highways. This shows that even though more space is available on wider roads rear-
end crashes do not reduce. This is probably due to poor visibility of vehicles rather than road design
itself. Countermeasures would include making vehicles more visible with the provision of reflectors
and roadside lighting wherever possible.
Following countermeasures need to be experimented with: physical segregation of slow and fast
traffic, provision of 2.5m paved shoulders with physical separation devices like cats eyes, provision
of frequent and convenient under-passes (at the same level as surrounding land) for pedestrians,
bicycles and other non-motorised transport, and traffic calming in semi-urban and habited areas.
Safety would be enhanced mainly by separating local and through traffic on different roads, or by
separating slow and fast traffic on the same road, and by providing convenient and safe road
crossing facilities to vulnerable road users.

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5. Status of research in road safety
INTRODUCTION
One way to understand the status of knowledge production in different countries is to examine the
number of scholarly articles on different subjects originating from those countries. Five key areas in the
field of transportation research are
1. Road Safety
2. Civil Engineering projects related to development in transport facilities
3. Emissions, covering air and noise pollution
4. Railways
5. Transportation planning, oriented towards developing the transport facilities
For each of the areas unique keywords were used and a search done on the online search engine
Scopus™ . The results of the search for the countries India, China and Brazil are shown in Table 13 and
the output normalised for population (2011) shown in Table 14. These tables show that not only does
India fare poorly in terms of total output, when normalised for population levels in 2011, India’s output
appears poor in comparison with both Brazil and China. Even more worrisome is the fact that the gap
between India and China has widened considerably in the past decade (Table 15) especially on topics
dealing with railway technology.
If we assume that research output may have some relationship with per capita income and number
of people in each society, even then these results show India is doing much worse than China and not
even as well as Brazil.
Table 13. Number of academic articles published originating
in India, China, and Brazil in the period 2006-2010. (Source:
Scopus™).

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It is possible that these data do not contain studies published from India which are not included in
indexed journals, and that the quality of studies from India may be better than many originating from
China. However, the gaps are so large that we need to take corrective measures on an urgent basis. The
number of papers from China per-person per US$ per-capita income are more than three times greater
than that from India in all areas. This means that if we want to catch up with China in ten years with
their present levels of productivity, we will have to grow at more than 10 per cent per year. However,
this would not be adequate enough for the kind of growth we need in knowledge generation and
innovation to put in place systems in the next ten years that serve us well for the next thirty years. It
would be safe to assume that we need to plan for a dramatic increase in human resource development,
research output and creation of jobs for highly trained professionals.
SYSTEMATIC REVIEW OF INDIAN RESEARCH REPORTS
A systematic search was done using definitive road traffic accident keywords (road safety India,
accident in India, and accident due to speeding in India, road accidents due to road geometry in Indian
highways, vehicular growth and road safety in India) on Science Direct and Google Scholar. The papers
were then classified into 4 broad themes -Urban areas, Highways, National Trends and Public
transportation. The search found eighty-one studies that were published in peer reviewed journals,
conference or institutional reports. Since 2000 the number of publications has shown an increasing
trend and according to a report, India contributed only 0.7 per cent papers on road traffic injuries.
This review was undertaken to synthesize the available published studies on road safety done in
India in the period 1970-2015 and categorize them according to four themes - urban, highways, national
trends, public transport. This section includes a systematic review of the published papers according to
the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)
statement (Moher, D. et al., 2009). The electronic database searches included Google Scholar and
Elsevier. A hand search enabled a look through the bibliographies of the retrieved articles. The search
screened published and unpublished articles, working papers, dissertations, reports documented or
published between 1970 and 2015.Only peer reviewed papers were selected. The search keywords were
entered in all searchable, subjects’ specific fields (title, keyword, and abstract), medical subject heading
(MeSH) and free-text terms, different for various search engines. The keywords that were used are: road
Table 14. Number of publications in the
period 2006-2010 per 100 million
population.
Table 14. Ratio of journal papers
published by China and India in the
periods 1961 -2005 and 2006-2010.

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safety India, accident in India, accident due to speeding in India, road accidents due to road geometry in
Indian highways, vehicular growth and road safety in India.
The references were included in the final review through discussions. Data were reviewed for
duplication after the extraction was completed and entered in Microsoft Excel. The inference of data in
a statistical manner could not be performed as the dataset obtained were heterogeneous in nature and
hence qualitative analysis of the extracted dataset was instead undertaken in the study.
Results
Following outcome measures were noted:
Prevalence of different modes/factors on accident rates in different environment.
Exposure of RTA’s on different road users.
Impact of RTCs and their related burden (i.e., number of accidents, fatalities, injuries, socioeconomic
burden, etc.).
India despite having the distinction of being the second most populous country contributed only
0.7% articles on road traffic injuries. It had less than one article on
road traffic injuries per 1,000 road traffic-related deaths (Borse, N.
and Hyder, A. A., 2009).
Sixty one papers that met the above criteria were included for
analysis. Table 15 shows the number of papers by publication type
and Table 16 by year of publication. The reviewed papers had the
following characteristics
In urban theme 31 % of the studies had statistical analysis
involving modelling.
In highway theme only 36 % studies had statistical analysis
involving modelling.
In public transportation theme 25 % studies had statistical
analysis involving modelling.
In National trends 25% studies had statistical analysis
involving modelling.
A summary of the papers is included in Appendix 1.
SUMMARY
India despite having the distinction of being the second most populous country contributed only
0.7% articles on road traffic injuries.
When normalised for population levels in 2011, India’s output appears poor in comparison with
both Brazil and China. The gap between India and China has widened considerably in the past
decade.
Table 15. Number of papers
on road safety published in
India 1970-2015.
Table 16. Number of papers
on road safety published in
India 1970-2015.

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The number of papers from China per-person per US$ per-capita income are more than three times
greater than that from India in all areas. This means that if we want to catch up with China in ten
years with their present levels of productivity, we will have to grow at more than 10 per cent per
year.
A review of peer reviewed papers on road safety published from India indicated that only about one
third of them included statistical analysis and modelling.

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APPENDIX 1
Highway Theme
SN Title/year/author/j
ournal( conf/report
)
Objective
Recommendations/Results
Statistica
l Analysis
1
Effect of road
characteristics on
accident rates on
Rural highways in
India (Kadiyali, L. et
al., 1983)
An investigation on a limited scale was
undertaken to establish relationships
between Accident rate and some
roadway And traffic volume Factors.
The study was taken up intensively on
the Bombay-Pune road, which has a
Mixture of road Geometry along its
length.
Some of the factors responsible for Road Accidents
on rural highways in India are Road geometry,
pavement width, Traffic volume and number of
Intersections per unit length of road
Yes
2
Analysis of road
accidents on
national highways in
Nasik district
(Baviskar, S., 1998)
This paper discusses the high accident
rates on National Highway (NH)
sections in the Nashik District of India;
The paper discusses: (1) the spatial
trends of accidents on NH 3 and NH
50, both of which pass through
Nashik;
(2) the results of a traffic census on
important roads in Nashik for 1981-
90; (3) observations on the NH 50; (4)
the time distribution of accidents on
the National Highways; (5) the
seasonal trend of fatal, serious, and
minor accidents on the National
Highways; (6) analysis of accidents for
different
Categories of roads; (7) observations
of the physical features And road
conditions of different sections of NH
3 and NH 50; And (8) the accident
environments on the NH 3 and NH 50.
The results of the study emphasize that the main
safety initiatives on Indian National Highways
should be specific very local improvements of
accident black spots, correction of short geometric
curves, provision of paved shoulders, increase of
sight Distance, removal of roadside Hazards,
flattening sides and slopes, And placing guard rails
on high embankment and bridge approaches.
Yes
3
Road safety
considerations for
national highways
(Sharma, A. and
Dua, L., 2000)
This paper aims to study the causes of
road accident on National highways in
India and provide recommendations.
Specific causes of accidents include: (1) median
kerb stones in dual carriageways and poor visibility
of kerb stones; (2) staged road construction; (3)
lack of maintenance of road signs; (4) driver errors;
(5) plantation of trees in rights of way; (6)
depressed side shoulders; (7) contractor errors; (8)
bridge railings; (9) poor drainage; and (10)
haphazard crossing of roads by pedestrians and
cattle.
This article makes 20 recommendations for
improving road safety, including three types of
road design improvements, black spot
identification and improvement, traffic barriers,
road safety audit, advanced warning systems, road
patrolling, training in first aid, uniform geometric
design, and roadside amenities.
No
4
Characteristics of
road accidents on
lower category of
roads in India
(Mittal, N. and
Sarin, S., 2001)
The objective Characteristics of road
accidents on lower category of roads
in india Accidents on rural roads in
India are not well documented.
From 1983-1989, lower category roads had the
highest proportion of road accidents. Studies in the
relatively prosperous state of Haryana in 1992 are
described. Accidents involving vulnerable road
users were higher on lower category roads than on
state highways. Although speeds were lower on
No

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48
lower category roads, the proportion of vulnerable
road user was higher and injuries in this group
were likely to be severe. Hit and run cases were
more frequent on lower category roads
Recommendations include better accident
reporting, strengthening road shoulders, pavement
repair, making cyclists more conspicuous, and
educating road users. By-passes and better
emergency services were also suggested.
5
Accident study on
national highway - 5
between anakapalli
to Visakhapatnam
(Rao, B. S. et al.,
2005)
The Institute has undertaken a study
on NH-5 between Anakapalli to
Visakhapatnam during the year 2003
and it runs through urban, semi urban
and rural areas. The accident data for
the last five years was collected from
the concerned police station and
analyzed thereafter. The aim of this
paper has been to analyze the cause
of accident and provide
recommendations.
The most frequent accident involved two wheelers
(35%) followed by goods vehicles (23%), cars (17%),
autos (15%), Buses (9%) and unknown vehicles
(1%). The reasons for the accidents can be
attributed to the lack of signage, raised median
cover with trees/bushes, making pedestrians not
visible to driver, improper design of pedestrian
crossing, frequent median openings, and lack of
enforcement to control wrong side movements.
Poorly designed access roads from the adjacent
areas of the highway are also leading to frequent
conflicts between local traffic (mostly two
wheelers) and through traffic (goods vehicles).
Proper sign boards such as Informatory, warning
and caution sign should be placed as per IRC
specifications to guide the road user to perceive
the situation. These include curve ahead, access
road signs along with delineators and retro-
reflective markers along the curve. Further it is
suggested to provide acceleration and deceleration
lanes. It was suggested to the National Highway
Authority of India (NHAI) to close both the median
openings to minimize the accident, as the fuel
filling facility is available on both sides. Further, it is
suggested to remove encroachment on National
Highway and provide improved junction geometrics
and high mast to improve illumination during night.
No
6
Minor
improvements of
highways for better
road safety (Sarin, S.
et al., 2005)
This paper discusses the Project types
undertaken under minor
enhancement objectives are described
with reference to the situation in the
UK and USA. Criteria for minor
improvements are listed. The
relationships between safety and key
road features are considered. The
planning and designing process for a
minor improvement project is
outlined.
Common road safety issues requiring minor
improvements are described: roadway
improvements (horizontal alignment, vertical
alignment, sight distance, cross-sectional elements,
channelisers, medians and service roads,
intersections, surface pavement), roadside
improvements (crash barriers, fixed objects,
bridges and culverts, relocation of access, drainage)
and operational road improvements.
Experience has shown that the following low-cost
minor improvements could be highly effective:
improvements in traffic control devices (signs,
markings, delineators), minor physical alterations
to the intersection layout, drainage improvements,
provision of crash barriers and railings, improved
access control, and improvements to median
openings.
No

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7
Analysis of Road
Traffic Accidents on
NH45, Kanchipuram
District (Tamil Nadu,
India) (Rajaraman,
R., 2009)
The primary objective was to collect
and analyze India-based traffic crash
data to begin to create a sound basis
for decision making for improving
safety on India’s roadways. A
secondary objective was to establish a
standardized methodology for
collecting and analyzing crash data,
specific to Indian roads.
Findings show that front-to-rear collisions, mainly
involving heavy trucks and buses, caused due to
slowing down, stopping, breaking down or
overtaking account for 59% of the accidents.
Front-Rear Collisions, which form a significant
number of accidents, occurred mainly at U-turns
and on General Roads. U-turns and sections of
highways close to facilities/amenities are black
spots for heavy truck accidents, as trucks tend to
slow down or stop in these areas.
Proper design of U-turns and implementation of
acceleration and deceleration lanes, as per
specifications and standards laid down, can help
mitigate accidents and injuries. Providing sufficient
shoulder widths, as per specifications, for heavy
trucks to park safely will help reduce front-rear
collisions due to stopped or parked trucks. Effective
driver communication, through clear and well
placed sign boards, warning signs and information
signs, can help drivers make decisions well in
advance and give proper indications to other
vehicles around them.
No
8
Analysis of In-Depth
Crash Data on
Indian National
Highways and
Impact of Road
Design on Crashes
and Injury Severity
(Padmanaban, J. et
al., 2010)
Analysis of In-Depth Crash Data on
Indian National Highways and Impact
of Road Design on Crashes and Injury
Severity
Researchers carried out on-site crash
investigations and in-depth crash data
collection for a period of 45 to 60 days
on four 2-lane undivided
highways( NH47 , NH209 , NH47
Bypass , NH67 ) and a 4-lane divided
highway( NH45).
Based on 76 crashes examined, researchers found a
shift of crash pattern from head-on collisions on
undivided 2- lane highways to front-rear collisions
on divided 4-lane highways. The top three vehicle
types involved in the crashes are: trucks (44),
passenger cars (27) and motorized two-wheelers
(24). M2Ws (22) are the highest vehicle type
involved in crashes in which at least one rider was
fatally injured or hospitalized. This indicates that
M2W riders, pedestrians and bicyclists are the top
three vulnerable road users.
These crashes usually occurred at junctions with
bus stops (58%) or near places of interest (38%)
such as temples, shops, etc. Crossing was the
pedestrian activity in 69% of the crashes. The
factors influencing these impacts are speeding
vehicles, lack of speed control devices and
markings at pedestrian crossings, and lack of
infrastructure to separate pedestrians and
bicyclists from motorized vehicles. Apart from
passenger cars (39%), minibuses/minitrucks (23%)
and trucks (15%), pedestrian impacts also involved
M2Ws (23%).
Road design at junctions/gaps in median, entry and
exits of highway amenities, and the availability of
clear signage and advance warning to drivers needs
to be looked into. The presence of paved shoulders
seems to reduce the occurrence of head-on
collisions, as the extra space allows vehicles to
move out of the way of overtaking vehicles. No
head-on collisions were observed on divided 4-lane
highways due to the presence of a wide median,
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50
indicating the effectiveness of medians/divided
roads in preventing head-on collisions. When the
front-side collisions were analyzed for common
problems, road alignment and design came out to
be the most predominant factor involved.
9
Random parameter
models for accident
prediction on two-
lane undivided
highways in India
(Dinu, R. and
Veeraragavan, A.,
2011)
The present study is an attempt to
employ random parameter modeling
for accident prediction on two-lane
undivided rural highways in India.
Three years of accident history, from
nearly 200 km of highway segments, is
used to calibrate and validate the
models.
Hourly traffic volume, length of highway segment,
proportion of cars and motorized two-wheelers in
traffic, driveway density, width of shoulder, and
horizontal and vertical curvatures were found to be
significantly influencing day-time accident
frequencies. While increase in proportion of cars
and width of shoulder were found to decrease the
accident frequencies, increase in the other
variables resulted in an increase in accidents.
In case of night-time accidents, hourly traffic
volume, length of highway segment, proportion of
buses, cars, and trucks, driveway density, and
vertical curvature were found to be significant.
Here the proportion of cars and trucks in traffic
were found to cause a decrease in accidents, while
all other variables had a positive coefficient,
showing an increase in accident frequencies.
Yes
10 Road safety audit
for four lane
national highways
(Jain, S. et al., 2011)
Objectives of study
I. To develop a methodology for Road
Safety Audit for four lane National
Highways.
Ii. To develop a model for
identification of safety influencing
parameters in minimizing likelihood
accident rate on selected section of
four lane National Highways network.
Iii. To examine safety features
adopted in the selected section of four
lane National Highway-58 and find out
deficiencies in the road network which
led to accident and safety hazards to
road users. Iv. To identify the speed
limits matching with the vehicles
speed on existing road profile of the
highway section.
The stretch from Km 75.00 to Km
130.00 of National Highway 58 had
been selected for candidate analysis.
From data simulation, it found that Road Markings,
Condition of Shoulder, Traffic Volume, Spot Speed,
Median Opening and Carriageway condition were
main parameters for causing accidents. It was also
seen that slow moving traffics were creating traffic
hazards for fast moving traffic as it always occupied
the innermost lane of highway
Service roads should be provided for the entire
length of four lane roads in order to separate slow
moving traffic from fast moving traffic. All
unauthorized median openings should closed and
adequate provisions for crossing local people be
made on priority. All undeveloped major and minor
intersections must be developed with adequate
lighting provisions as quickly as possible since
maximum accidents were observed on these
locations. Pedestrian guardrail should be provided
all along the footpath of service road and at bus
stops.
Yes
11 IRAP India Four
States Road Safety
Report (Rogers, L.,
2012)
The project was designed to assist the
governments of four Indian states:
Andhra Pradesh, Assam, Gujarat and
Karnataka to assess road
infrastructure-related risk on 3,000km
of high-risk roads and identify
economically viable road safety
countermeasures for implementation
under the World Bank financed
upgrades.
The road attribute data shows that the majority of
the survey was conducted along a two-lane, single
carriageway rural network, with very little physical
separation between opposing flows. Roadside
hazards are numerous, with most of the survey
length having hazardous objects within 5m of the
running lane and limited road side protection.
Provision for vulnerable road users is poor with no
motorcycle or bicycle facilities present and
insufficient footpath provision and crossing
facilities where pedestrian numbers are high.
No

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51
The recommendations primarily seek to improve
facilities for vulnerable road users and to reduce
the risk of head-on, run-off and intersection
crashes for motorised users. Along with roadside
safety improvements and the segregation of
opposing flows, intersection upgrades also featured
prominently in all Safer Roads Investment Plans
(srips) with roundabouts, signalisation, turn lanes
and improved delineation providing good returns
on investment. Road surface upgrades, paved
shoulder widening, lane widening and improved
delineation, all of which had been independently
identified by the design team for inclusion in the
rehabilitation works using IRC (Indian Roads
Congress) standards. This meant that the road
safety component could be used to include
improvements such as speed reducing features in
urban areas, footpaths and pedestrian crossings,
dedicated motorcycle lanes and turning lanes at
intersections.
The analysis found that a combined investment for
the four states of 27 billion rupees would prevent
almost 125,000 deaths and serious injuries and
save close to 120 billion rupees in crash costs
avoided. This represents a 40% reduction in deaths
and serious injuries based on current estimates.
12 Pedestrian Accident
Prediction Model
for Rural Road
(Sharma, A. and
Landge, V., 2012)
The specific objectives of studies are:
Development of Correlation
between road accidents and
geometric design parameters of
highway along with traffic operating
characteristics for pedestrian accident
Evolving engineering remedial
measures for improving safety on the
selected stretch.
Practical recommendations for
improving traffic safety on the said
highway.
Road geometry and traffic data was
collected through field studies and
traffic count survey for a road length
of 100km between Amravati City and
Nagpur City of Maharashtra State in
India.
National Highway No 6 experiences the crash rate
as high as 1.62 accidents per year per km .It has a
very high rate of fatality 0.38 death /km/year .The
highway share heavy vehicles, passenger cars , two
wheelers, animal drawn carts, cattle, and
pedestrians. Heavy vehicles are involved in 78% of
the accidents, passenger cars are involved in 48%
of accidents, two wheelers are involved in 62% of
accidents and pedestrians are involved in 21% of
accidents
Pedestrian safety is greatly influenced by number
of access points per unit length of the road. Each
additional access point per kilometer of road length
may increase accident rate by more than 100%. Ii.
Shoulder width is also a highly influential factor
affecting pedestrian safety. Additional 1m width of
shoulder will reduce the accident by 50%. Iii.
Additional lane width of 1m may reduce the
accident by 50%.
Some remedies are
Access to main highways should be properly
designed. Ii. Sufficient shoulder width or provision
of safe walking places along the highways should
be provided. Iii. Elevated and visible designated
areas for crossing of roads in all possible places. Iv.
Separation of pedestrian movement from heavy
moving traffic in all possible places. V. Speed
control by road design, traffic calming and
enforcement on highways, near traffic generators
Yes

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like educational institutions, business places and
hospitals.
13 Characteristics of
Fatal Road Traffic
Accidents on Indian
Highways (Narayan,
S. et al.)
Characteristics of Fatal Road Traffic
Accidents on Indian Highways. A total
of 167 accident investigations have
been carried out in the Coimbatore
District of the state of Tamil Nadu
over a period of one year. Data from
crash investigations of 71 fatal
accidents involving 80 fatalities (66
vehicle occupants and 14 pedestrians)
is analyzed in this paper.
Fatal accidents account for 43% of all accidents
investigated. Motorized two-wheelers (M2Ws)
constitute 60% of vehicles with fatal casualties
while passenger cars constitute 30%. Majority of
the impacts were head-on frontals (35%) followed
by pedestrian impacts (18%). M2W collisions with
trucks and cars constitute 35% of fatal accidents.
Most of the fatal casualties were under 40 years of
age. The injury severity (MAIS) ranged from MAIS=3
(21%) to MAIS=6 (10%) while 46% of the casualties
suffered fatal injuries at MAIS=4
No
14 Crash Prediction for
Multilane Highway
Stretch in India
(Chikkakrishna, N. K.
et al., 2013)
This paper documents the application
of Bayesian modeling techniques for
road traffic crash analysis on a sample
of Indian National Highways. Poisson-
Gamma Hierarchical Bayes and
Poisson-Weibull Bayesian models
were applied to the collected crash
data.
The stretch from Km 76.00 to Km
130.00 of National Highway 58 has
been selected for candidate analysis.
The selected highway stretch has been
newly reconstructed and upgraded to
four lanes. The two important
obligatory points on the study area
are Meerut and Muzaffarnagar of the
highway in the state of Uttar-Pradesh,
India
The following general conclusions are drawn.
1. Median opening has major influence on the
occurrence of crashes. 2. The traffic flow is also
showing direct impact on occurrence of crashes as
justified practically. 3. From the analysis, it has
been observed that as access roads to the main
highway increases the chances of crashes on
highways will be more which is as per realistic
experience. 4. Road side developments also
increase the movement and hinder the smooth
traffic movement which is also justified. Whereas
the commercial activities is showing negative
impact as there is enough lateral clearance from
the highway shoulder for ingress and egress of the
vehicles.
Yes
15 Accident Study on
Identified Roads of
Kurukshetra
(Chaurasia, V. K. and
Sachdev, S.)
A study hasbeen taken up on a
selected stretch of SH-6, the
Saharanpur-Kurukshetra road,
between Pipli to 3rd Gate of
Kurukshetra University in Haryana to
find out accident severity index,
weighted accident severity
index,accident prone areas,peak hour
time of accident,total number of
accident per year and involvement of
different type of vehicles and
pedestrians.
The pedestrians and the two wheelers seem to be
the most affected section sharing a percentage of
39 and 43 respectively of the victims of total
accidents. The bi-cycles and cars are equally
affected by the accidents and their share in victims
is 5% each. The percentage share of three wheelers
is 4%.
The 2-wheelers and cars have maximum
involvement in accidents having a percentage of
32% and 28% respectively, which is more in
comparison to other type of vehicles. The
percentage of accidents by bus and truc ks are 10%
and 11%. The minimum involvement is by3-
wheelers and tractors having a share of 4% and 5%
Based on the study, main reasons for this large
number of accidents are lack of traffic signals,
parking areas, markings and geometric designs of
road. To overcome these reasons, some
suggestions are provided with conclusion to reduce
the number of accidents and save the lives of
human over the selected stree
Road design and geometric improvements to
compensate for inadequacies of road users such as:
O Designing of road profile network
No

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53
O Stopping sight distance
O Overtaking sight distance
O Pavement width
O Footpath & Shoulder
O Hump near the college and other place and
using reflectors on dangerous zone
Accident black spot investigation and rectification
through road design. By providing Traffic signal for
controlling the traffic movement as per
requirement at black spot point and control the
road accident in Kurukshetra. Traffic police for
controlling the traffic Design of road junctions,
Traffic guidance, road signs, speed limit posts, and
other traffic control devices andwarning signs for
road users Road pavement markings,
construction of footpaths/cycle tracks, bus bays,
truck parking complexes, and other way side
amenities, etc
16 An In-Depth Study
of Motorized Two-
Wheeler Accidents
in India(Arjun, P. et
al., 2014)
An In-Depth Study of Motorized Two-
Wheeler Accidents in India
Of these 670 crashes, 182 were M2W crashes for
which injury records were available. 72% (134) of
these M2Ws were motorcycles and 28% (48) were
scooters and mopeds. The majority of the collision
partners for motorcycle accidents were cars (36%)
and heavy vehicles (36%), 22% of the riders were
young (18- 23 years old), and 83% of the
motorcycle riders were not helmeted.It is expected
that increased law enforcement, infrastructure
development, proper helmet use training and
design/safety standards for helmets would mitigate
injuries to M2W riders in India
No
17 Burden, pattern and
outcomes of road
traffic injuries in a
rural district of India
(Gururaj, G. et al.,
2014)
The objective of the present report is
to describe the burden, pattern and
outcomes of road crashes and current
status of trauma care for rtis in
Tumkur a rural district of South India.
The ratio of fatal to nonfatal rtis registered in the
entire district was 1:5 for the year as per police
reports.
Motorcyclists (drivers and pillions) comprised the
major category of road users injured and killed in
road crashes constituting 45% and 34% of fatal and
non-fatal crashes, respectively. This was closely
followed by pedestrians to the extent of 20% and
29% of fatal and non-fatal crashes, respectively
Passengers and drivers of heavy vehicles (like lorry,
buses and trucks) constituted 11% of fatal and 10%
of non-fatal injuries. Among fatal crashes, nearly
10% were drivers and occupants of three-wheeled
vehicles. Pedestrians were commonly hit by heavy
vehicles like buses, lorries and trucks (61%),
followed by motor cars (16%) and two wheelers
(14%) in fatal crashes. The absence of traffic
separators especially on the highways is a
noticeable feature in the district particularly in
select stretches.
No
18 Effects of highway
geometric elements
on accident
modeling/ 2014
(Garnaik, M. M.,
2014)
Objective was to study Effects of
highway geometric elements on
accident modeling .
The study was conducted on two road
segments
( National highway 23 , 22, 87
Statistical analysis indicated that, several highway
geometric parameters are very significant to cause
accident in the highway. Highway alignment
geometric elements such as radius, superelevation,
k-value, vertical gradient and sight
distance/visibility are very significant in causing
Yes

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54
&200 )from plain & rolling terrain
highway and two road segments from
mountainous & steep terrain highway
within the rural area of the Indian
Territory. Two Highway Accident Rate
Prediction Models (HARPMPRT and
HARPMMST) were developed due to
the complexity of geometric elements
of rural highway on different terrain
conditions which take horizontal
radius, superelevation, K-value,
vertical gradient and visibility as input
variables and Accident Rate (AR) as
output variables.
accident both in plain & rolling and mountainous &
steep terrain highway. However, deflection angle,
horizontal arc length, rate of change of
superelevation and vertical curve length are
insignificant to cause accident in both plain &
rolling and mountainous & steep terrain highway.
19 Coimbatore Rural
Road Accident Study
(2015)
The report not only identifies these
“contributing factors” but also ranks
them based on the number of
accidents these factors have
influenced in Coimbatore. This ranking
is to help policy makers, decision
makers and road safety stakeholders
in planning cost effective road safety
investments using data-driven road
safety strategies.
Findings show that the type of vehicles/road users
most often involved in accidents on the highways
were motorized two-wheelers, or “M2Ws” (32%),
followed by cars (27%) and trucks (22%). The most
vulnerable road users, pedestrians and
motorcyclists, were involved in about 40% of all
events recorded, and M2Ws impacted or were
impacted by a truck or bus in about 18% of these.
Study findings shows that human and
infrastructure factors in combination (66%) had the
highest influence on the occurrence of accidents,
followed by human factors alone (23%).
Convert undivided road stretches on National
Highways to divided roads; Implement a speed
management program ; Clearly mark traffic
directions/instructions before and at intersections;
rovide crash barriers to make rigid objects on
roadside and median more crashfriendly and
forgiving when impacted.
No
NATIONAL TRENDS

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55
1
Road accident
problem in India
(Hingorani, D. and
Sarna, A., 1978)
The article gives the numbers
of and describes trends in road
accidents in india between
1960 and 1969.
It shows that although the total number is low the
annual rate of increase is very high, compared with
other countries. The fatality rate per 1000 vehicles
(8) was very high although the rate per 100,000
population (1) was low. Urban accident rates were
much higher than in other countries
The report stresses the need for countermeasures
such as road and traffic engineering and propaganda,
education and enforcement for road users.
2
A review of road
accidents in india -
their causative
factors and
preventive measures
(Hingorani, D. and
Sarna, A., 1978)
Trends in fatalities, total
accidents and motor vehicles in
India for the period 1960-1974
are discussed.
Over this period the number of motor vehicles
increased from 604902 to 2411545, the number of
road accidents increased from 55478 to 109657, and
fatalities increased at the rate of about 12.4 per cent
per annum. Traffic engineering, regulations,
enforcement, education and vehicle safety as
preventive measures are discussed.
Recommendations are presented on pedestrian
safety, cyclists, vehicle safety, driver control and the
education of children as suggested preventive
measures
No
3
Accidental death and
disability in India: A
stocktaking (Mohan,
D., 1984)
In this paper data from official
sources and spot studies of
small populations in India have
been used to extrapolate for
the whole country to get an
estimate of the magnitude of
the problem.
It is estimated that in 1978 India had a death rate of
57 per 10,000 vehicles. The Indian data show that
pedestrians, bicyclists, and motorcyclists are the
major road accident victims.
Compulsory helmet laws or mandatory headlight-on
laws for motorcycles are likely to be more effective
than seatbelt use laws for car passengers so they
should be implemented
No
4
Accident causative
factors (Chand, M.,
1995)
This paper analyses selected
important causes of Indian road
accidents.
It was found that the major causes of the accidents
in 1985 were: (1) driver errors (57%); (2) pedestrians
(5%); (3) vehicle defects (5%); (4) passengers (3%);
and (5) bad roads (2%). The author considers: (1) the
road factor; (2) the vehicle factor; (3) the month,
day, and time of day factor; (4) contributory factors;
and (5) the driver factor.
No
5
Road safety for
vulnerable road
users: some issues
and suggestions
(Kumar, P., 2000)
This paper covers issues and
suggestions relating to
engineering measures to make
Indian roads safer for
pedestrians and cyclists.
Education and enforcement are seen as playing a key
role in the enhancement of safety. Pedestrian safety
concerns footpath obstructions; dropped kerbs at
crossings; segregated footpaths in rural areas;
pedestrian crossing aids including refuges and
railings; and footbridges or subways. Facilities for
cyclists and rickshaws should include segregated
road channels and signaling. Many accidents could
No

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56
be avoided by adopting these measures
6
Spectrum analysis of
road accidents - a
case study (Saija, K.
et al., 2000)
This paper presents a detailed
analysis of the spectrum of
road accidents in the Indian
state of Gujarat, which is a
rapidly developing part of India
with a higher than usual road
accident growth rate; it
contains extensive tables.
The Gujarat State traffic branch has collected road
accident information since 1975 and in A-4 form
since 1986; the data were collected and analysed in
five broad classifications, the time, district, vehicle,
road user, and road and environment spectra. The
spectra in the latter category include road
classification, road surface and width, type of
crossing and traffic control, location pattern,
collisions, traffic movement, and climate. The
Gujarat State traffic branch has collected road
accident information since 1975 and in A-4 form
since 1986; the data were collected and analysed in
five broad classifications, the time, district, vehicle,
road user, and road and environment spectra. The
spectra in the latter category include road
classification, road surface and width, type of
crossing and traffic control, location pattern,
collisions, traffic movement, and climate.
Road safety measures range from short-term low-
cost to long-term high-cost solutions, and include
phased programmes conducted according to
available resources.
yes
7
Traffic safety and
health in indian
cities (Mohan, D.,
2002)
This paper discusses some of
the issues concerning public
transport, safety and the
environment.
Around 15% of the total road traffic fatalities in India
occur in 23 metros.
In the metros, MTW comprise approximately 70% of
all vehicles and constitute 20- 30% of fatalities.
Heavy vehicles like trucks and buses are associated
with 50-70% of fatal road crashes both in urban and
rural areas.
The non-motorised transport road users consisting
of pedestrians, cyclists and other slow moving
vehicles are the most vulnerable group and account
for 60-80% of the ) fatalities.
Between 8:00 pm at night and 4:00 am in the
morning, crash rates are high compared to the
density of traffic. This may be due to prevalence of
higher vehicle speeds, low visibility, low conspicuity
of vehicles and alcohol.
Safety would be enhanced mainly by separating local
and through traffic on different roads, or by
separating slow and fast traffic on the same road,
and by providing convenient and safe road crossing
facilities at frequent intervals to vulnerable road
users and by making sure that the design guidelines
regarding issues like super elevation, etc. Are
observed strictly.
Findings suggest that wider shoulders reduce
conflicts between slow moving traffic and motor
vehicles but do not eliminate them. For these type of
crashes to be reduced the following
countermeasures need to be experimented with: (a)
Physical segregation of slow and fast traffic (b)
Provision of 2.5m paved shoulders with delineation
devices like cats eyes, studs, rumble strips (300 mm
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57
in width) between the main carriageway and the
shoulder (c) Provision of frequent and convenient
under-passes (at the same level as surrounding land
with highway raised to provide clearance) for
tractors, pedestrians, bicycles and NMT (d) Traffic
calming in semi-urban and areas and villages.
Collisions with fixed objects are low only on 4-lane
divided highways. Provision of adequate run-off area
without impediments is very important on highways
and better road markings to indicate the alignment
of the road would help also. We need to develop
standards for provision of convenient tunnels and
other crossing facilities in terms of designs and
frequencies. In addition, there would also be a need
for provision of “service roads” along the highways
for short distance trips for local traffic
8
The Road Ahead:
Traffic Injuries and
Fatalities in India
(Mohan, D., 2004)
Overview of Traffic injuries and
fatalities in India
Data show that the car population as a proportion of
total motor vehicles is much less in India than in the
hmcs (13% vs 56-80%) and that the proportion of
motorised two-wheelers (MTW) much higher (70%
vs 5-18%). Pedestrians, bicyclists and MTW riders
constitute a larger proportion of road crash victims
in India than in hmcs.
Measure are discussed for Pedestrian and bicyclist
safety, Motorcyclist safety, Motor vehicle occupants,
Road measures – initiation of good practices; Pre-
hospital care, treatment and rehabilitation (Short
term)
And in long term Traffic calming and speed control;
Segregated lanes for vulnerable road users and
buses in urban areas; Safer design of 4/6 lane
highways; Vehicle safety; Drinking under the
influence of alcohol and other drugs; Road user
based strategies; Prehospital care, treatment and
rehabilitation.
No
9
Road accident
models for large
metropolitan cities
of India (Valli, P. P.,
2005)
The aim of the present paper is
to develop models by analyzing
the road accident data at an all
India level as well as for major
metropolitan cities. The data
for the 25 year period from
1977 to 2001 were analyzed to
build models to understand the
nature and extent of the causes
of accidents using the concept
of Smeed's formula and
Andressen's equations.
As compared to an all india level, the total road
accidents in the seven metropolitan cities namely
ahemedabad, bangalore, mumbai, kolkata, delhi,
hyderabad and chennai were about 21.5% of the
total accidents during 1977, which marginally came
down by 5% to 16.9% in 2001. The fatalities and
injuries during this period exhibit a declining trend
significantly from 10.52% to 6% and from 23.28% to
8.96% respectively.
Yes
10 Exploring the
relationship
between
development and
road traffic injuries:
a case study from
India. (Garg, N. and
Aim to study the trends in
injury and death rates in a
developing country, India,
define sub-national variations,
and analyse these trends in
relation to economic and
population growth. Public
There has been a steady decline in vehicle-based
death and injury rates in India, but a growing trend
in the population based rates of injuries and deaths.
This seemingly divergent trend can be explained
since vehicle-based rates are decreasing due to a
disproportionate influx of vehicles on Indian roads,
while population-based rates are increasing because
Yes

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58
Hyder, A. A., 2006)
sector data from India were
used to develop a standardized
database on traffic injuries and
indicator of economic
development.
of an absolute increase in the number of crashes
relative to the rate of population growth.
Developing nations such as India do not need to wait
for rising fatality rates before adopting road safety
measures. The more economically developed states
should consider immediate investment in road safety
measures to halt the rising mortality from road
crashes. Measures such as traffic law formulation,
implementation, and traffic segregation, as
suggested by WHO,2 should be undertaken. States in
earlier stages of development need to recognize the
potential loss of health that will occur, and should
phase in interventions to prevent traffic injuries. At
the same time, studies to understand the state-
specific determinants to guide effective measures
should be conducted.
11 Road Safety in India:
Challenges and
Opportunities
(Mohan, D. et al.,
2009)
The present report was
designed to analyze the traffic
safety situation in India, and to
identify countermeasures for
areas in which the total harm
caused by crashes can be
substantially and readily
reduced.
It is pointed out in this analysis that fatality rates
have increased both on highways and in urban areas
during the past few years. Theoretical models
suggest that the number of fatalities in India is not
likely to start to decline for many years to come
unless new policies are implemented. Based on the
present analysis, the following six areas are
identified as having potential for substantially
reducing fatalities in India: (1) pedestrians and other
non-motorists in urban areas, (2) pedestrians, other
non-motorists, and slow vehicles on highways, (3)
motorcycles and small cars in urban areas, (4) over-
involvement of trucks and buses, (5) nighttime
driving, and (6) wrong-way drivers on divided
highways.
Separation of motorized and nonmotorized traffic on
arterial roads; Special facilities for slow and local
traffic all along highways( Pedestrian detection
technology Forward collision warning systems);
Highway designs incorporating local needs
Enforcement are proposed
No
12 Road accidents in
India (Mohan, D.,
2009)
This paper discusses the
accident rate and fatalities and
the causes in India.
The total number of fatalities from 1997 to 2007
increased at an average rate of about 4% per year in
the period 1997-2003 and the rate has increased to
8% per year since then. The number of fatalities per
million population remained around 79-83 in the
period 1997-2003 and has since increased to 101.
Data show that car occupants were a small
proportion of the total fatalities, 3% in delhi and 15%
on rural highways. Vulnerable road users
(pedestrians, bicyclists, and motorized two-wheeler
riders) accounted for 84% of deaths in delhi and 67%
on highways.
The study reported that trucks were the striking
party in 65% of fatal crashes. Other studies done on
national and state highways in 1990’s report that
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59
majority of the crashes involved buses, 25% of the
victims were pedestrians, rear-end crashes
comprised 40% of total crashes and that crashes
were increasing at a rate of 3.9% per year .
Road safety policies in India must focus on the
following issues to reduce the incidence of road
traffic injuries: pedestrians and other non-motorist
in urban areas; pedestrians, other non-motorists,
and slow vehicles on highways; motorcycles and
small cars in urban areas; over-involvement of trucks
and buses; night-time driving; and wrong-way
drivers on divided highways. There is an urgent need
to revamp police data collecting procedures so that
necessary information is available for scientific
analysis. India specific countermeasures will be
possible through continuous monitoring and
research, which will require the establishment of
road safety research centers in academic institutions
and a National Road Safety Board that could help
move toward a safer future as outlined above.
13 Evidence-based road
safety practice in
India: assessment of
the adequacy of
publicly available
data in meeting
requirements for
comprehensive road
safety data systems.
(Barffour, M. et al.,
2012)
To assess the availability and
coverage of publicly available
road safety data at the national
and state levels in India.
2 publicly accessible data sources in India Were
reviewed the for the availability of data related to
traffic injuries and deaths: (1) the National Crime
Records Bureau (NCRB) and (2) the Ministry of Road
Transport and Highways (MORTH). Using the World
Health Organization (WHO) manual for the
comprehensive assessment of road safety data, we
developed a checklist of indicators required for
comprehensive road safety assessment. These
indicators were then used to assess the availability
of road safety data in India using the NCRB and
MORTH data. We assessed the availability of data on
outcomes and exposures indicators (i.e., number of
crashes, injuries, deaths, timing of deaths, gender
and age distribution of injuries and deaths), safety
performance indicators (i.e., with reference to select
risk factors of speeding, alcohol, and helmet use),
and cost indicators (i.e., medical costs, material
costs, intervention costs, productivity costs, time
costs, and losses to quality of life).
There is an urgent need to improve the publicly
available road safety data in India. This will enhance
monitoring of the burden of traffic injuries and
deaths, enable sound interpretation of national road
safety data, and allow the formulation effective road
safety policies.
No
14 Road traffic crashes
and risk groups in
India: Analysis,
interpretations, and
prevention
strategies
(Ponnaluri, R. V.,
2012)
The objectives of this work
were to (a) present the national
RTC framework and a case
study of Andhra Pradesh (AP);
(b) analyze and identify risk
types; (c) discuss trends and
data deficiencies; and (d)
recommend prevention
strategies.
During the period 1970–2009, the nation's road
length increased at a compounded annual growth
rate (cagr) of 3.2%, whereas the number of
registered vehicles, rtcs, and fatalities grew at 12%,
3.8%, and 5.7% cagr respectively. Exposure risk
dropped from 103 to 11 fatalities per 10 000 vehicles
but increased from 2.7 to 10.8 fatalities per 100 000
people. In 2009, 22% of fatal crashes in andhra
pradesh were due to heavy vehicles, while motorized
two-wheeler fatalities more than tripled during the
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60
Public Transportation
S.N. Title/year/author/j Objective
Recommendations
Statis
2001–2009 period. 42% of rtcs occurred at
‘uncontrolled’ intersections, while the crash risk at
police-regulated locations was 40% less than at
traffic signals.
Recommended prevention strategies include:
developing a road accident recording system and an
access management policy; integrating safety into
corridor design and road construction; undertaking
capacity-building efforts; and expanding emergency
response services.
15 Determinants of
road traffic crash
fatalities across
Indian States.
(Grimm, M. and
Treibich, C., 2013)
This article explores the
determinants of road traffic
crash fatalities in India. In
addition to income, the analysis
considers the
sociodemographic population
structure, motorization levels,
road and health infrastructure
and road rule enforcement as
potential factors. An original
panel data set covering 25
Indian states is analyzed using
multivariate regression analysis
The rising motorization, urbanization and
accompanying increase in the share of vulnerable
road users, that is, pedestrians and two-wheelers,
are the major drivers of road traffic crash fatalities in
India. Among vulnerable road users, women form a
particularly high-risk group. Higher expenditure per
police officer is associated with a lower fatality rate.
Results suggest that India should focus, in particular,
on road infrastructure investments that allow the
separation of vulnerable from other road users on
improved road rule enforcement and should pay
special attention to vulnerable female road users.
yes
Road traffic injury
mortality and its
mechanisms in India:
nationally
representative
mortality survey of
1.1 million homes
(Hsiao, M. et al.,
2013)
To quantify and describe the
mechanism of road traffic
injury (RTI) deaths in India
A nationally representative mortality survey was
conducted where at least two physicians coded each
non-medical field staff's verbal autopsy reports. RTI
mechanism data were extracted from the narrative
section of these reports.
Pedestrians (68 000), motorcyclists (36 000) and
other vulnerable road users (20 000) constituted
68% of rti deaths (124 000) nationally. Among the
study sample, the majority of all rti deaths occurred
at the scene of collision (1005/1733, 58%), within
minutes of collision (883/1596, 55%), and/or
involved a head injury (691/1124, 62%). Compared
to non-pedestrian rti deaths, about 55 000 (81%) of
pedestrian deaths were associated with less
education and living in poorer neighbourhoods.
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61
ournal
( conf/report)
tical
analy
sis
1
Factors affecting
bus-related
accidents - case
study of five
corporations in
tamilnadu (Victor,
D. and Vasudevan,
J., 1989)
This paper attempts to
analyse 1987 accident data,
relating to five bus transport
corporations in Tamil Nadu,
India, in order to reach
reasonable inferences and
practical recommendations.
Conclusions from the analysis of 1286 bus-related
accidents include: (1) 37% of buses and 16% of drivers
were involved in accidents, and this is a serious
situation requiring detailed examination of possible
counter- measures; (2) driver faults were considered
to be the primary cause of nearly 37% of the accidents,
so that additional training and refresher courses for
drivers are indicated; (3) drivers tend to become
involved in fewer accidents as their age and
experience increases; (4) about 54% of the accidents
were in built-up areas and bus stands; (5) the
proportions of accidents on straight road stretches,
curves and intersections were 81%, 11% and 5%,
respectively; (6) over 90% of the accidents were
attributed to bad road user behaviour, Remedies
suggested are road safety education and effective
driver training.
no
2
An analytical study
of bus-related
accidents in India
(Chand, M., 1999)
This paper examines the
frequencies and trends of
bus-related accidents with
special reference to public
road transport undertakings
(PRTUs) in India. It also
attempts to obtain statistical
relationships between
selected accident-related
factors by using PRTU data.
(Nothing else could be
found. )
Buses are involved in about 10% to 35% of road
accidents in different States of India.
yes
3
Analysis of Fatal
Crashes of Chennai
City’s Metropolitan
Transport
Corporation (MTC)
Buses (Jeya
Padmanaban, R. R.,
Swastik Narayan,
Bharat Ramesh,
2010)
Analysis of Fatal Crashes of
Chennai City’s Metropolitan
Transport Corporation
Using data for 283 fatal crashes, coded from detailed
accident reports (dars) maintained by mtc.
researchers determined that motorized two-wheelers
(m2ws), pedestrians and bus passengers falling off
footboards together constitute 89% of fatal road
users.
It was found that fatalities could be significantly
reduced by preventing rear tire run over in buses
(30%) using engineering interventions in bus design,
using bus doors to prevent passengers from falling off
the footboard (22%), helmet use (22%) by m2w riders,
pedestrian friendly infrastructure at crossings (64%)
and bus stops (30%), and by educating road users on
precautionary driving measures.
With 30% of pedestrian accidents having occurred at
or near bus stops, these areas would be a good place
to start an infrastructure intervention. Functional
designs for bus stops and pedestrian crossings need to
be looked into. In case of MTC bus crashes with M2Ws,
front-rear collisions and sideswipes are common on
divided roads indicating that infrastructure design, at
least for new roads, should incorporate solutions
which can separate buses and heavy vehicles from
light vehicles.
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4
Traffic Safety and
City Public
Transport System:
Case Study of
Bengaluru, India
(Kharola, P. S. et al.,
2010)
This paper presents an
analysis of the fatal crashes
that involved public transport
buses in Bengaluru, India.
Buses are involved in 12-20 percent of fatal crashes in
indian cities. Bus users face risks of road traffic injuries
on access trips and buses also are associated with road
traffic crashes with other road users. In absolute
numbers, motorized two-wheeler riders constitute the
largest share of fatalities (40%) and cyclists account for
about 10 percent for being its accident victims.
Adequate Right-of-Way for All Modes of Transport;
Installing Automatic Doors; Changing the Design of the
Bus Body; Better Personnel Policies; Selective but
Effective Enforcement of Regulations; Incentives for
Drivers; Structural Changes for an Integrated
Approach; are proposed.
The paper establishes that change in bus design with
low floors, automatically-closing doors, safer bus
fronts, and segregated infrastructure for bicycles and
pedestrians would go a long way in reducing the
number of fatal crashes on city roads involving public
buses.
No
URBAN SAFETY
S.N. Title/year/author/j
ournal
(conf/report)
Objective
Recommendations
Statis
tical
analy
sis
1
Two-wheeler
injuries in delhi,
india: a study of
crash victims
hospitalized in a
neuro-surgery ward
(Mishra, B. et al.,
1984)
The present study was
undertaken to determine the
head injury patterns of two-
wheeler riders admitted to a
hospital in Delhi. A total of 87
crash victims were studied
over a period of one year.
The results indicate that collision patterns, age
distribution, average injury severity and driving
experience of patients admitted were different from
those reported in studies conducted in industrialized
countries.
The motorized two-wheeler population has increased
in delhi by more than 300% in the last decade (1970-
80). Bicyclists and motorcyclists accounted for 244
traffic accident deaths in delhi in 1980. A majority
(83%) of the injured patients were mtw riders and the
rest bicycle riders . A vast majority of the crashes were
reported to have occurred on straight roads and only
16 were recorded as collisions with cars, trucks and
buses.
No
2
An analysis of road
traffic fatalities in
Delhi, India
(Mohan, D. and
Bawa, P., 1985)
This study is an attempt to
understand fatal crash
patterns in Delhi in 1980
using police data. The results
indicate that fatality patterns
in Delhi are very different
from those in highly
industrialized countries.
Pedestrians, two-wheeler riders and bus commuters
comprise 80% of fatalities and motor-vehicle
occupants a small minority.
Buses and trucks accounted for 65% of the crashes,
and cars and jeeps 7%. The rest were killed by impacts
with MTWs, tractors, three-wheeler scooter rickshas,
bullock carts, and tongas. Buses alone accounted for
29% of the fatalities. The high representation of buses
and trucks is partly due to the fact that they have high
exposure on the road.
Only 18% of the pedestrian fatalities occurred at road
junctions and 82% on the straight road. A large
proportion (5 1%) of the fatalities at junctions occurred
at T-junctions and only 28% at four-arm junctions and
a total of 79% at uncontrolled junctions. On the
No

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63
straight road 21% of the fatalities took place at
pedestrian crossings. This means that 26% of all
pedestrian fatalities on the straight road occurred at
marked pedestrian crossings.
Small vehicles like motorcycles and bicycles and other
slow-moving small vehicles should be painted only in
combinations of conspicuous colours like white,
orange and yellow, and greater use of reflective strips
should be encouraged. This would make smaller
vehicles more noticeable, especially at night.
Speed limiters must be installed on public buses and
trucks which operate within the city only.
A lower minimum age limit, of 25 years, should be
established for bus and truck drivers.
Helmet use should be made compulsory for all MTW
riders.
Pedestrians and two-wheeler riders should be made
aware of the advantages of wearing light-coloured
clothing so that they are more conspicuous on the
road.
Road designs should discourage high speeds in the city.
Pedestrian crossings on the straight roads should not
be provided unless there are built-in methods of
slowing down vehicular traffic on either side
BUS designs should be evolved which allow large
numbers to board the bus very quickly and then move
through the bus while the latter is in motion. Low-
powered small vehicles like three-wheeler scooter-
rickshas may be encouraged for use as taxis, and safer
designs evolved which are more comfortable for the
driver and passengers;
MTWs with engine capacities greater than 150 cc
should be discouraged, as higher-powered MTWs
riders tend to sustain more serious injuries . Design
features on roads which keep vehicle velocities low
consistently over long distances should be evolved.
These could include combinations of road markings,
ripples, serrations, and appropriate intersection
designs.
3
Road safety in and
around vadodara
city (Raichur, M. et
al., 1993)
This paper presents accident
statistics for Vadodara City,
India, and the surrounding
rural area, and proposes
several safety improvements
for them. Accident statistics
tables are given for each of
the years 1981 to 1990
. The most important causes of road accidents are:
motor vehicle driver (54%), cyclist (6%), other vehicle
driver (10%), and pedestrian (6%).
Urban road safety measures proposed are: (1)
increasing the safety of accident black spots, of which
six are named; (2) a variety of engineering measures,
including junction improvement; (3) several
enforcement measures; (4) proper use of media to
educate the public, and proper traffic education for
children
Yes
4
Injury pattern
among road traffic
accident cases : a
study from south
To know the prevalence of
injuries present among the
road. Traffic accident cases.
Study was done in
Pedestrians and drivers were 22% and 35% of rta
victims respectively. The occupants of vehicles
constituted the largest (43%) group of victims. Thirty-
five pedestrians (21.9%) injured were involved in an rta
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India (Jha, N. et al.,
2003)
Pondicherry.
with a truck. Buses caused injuries to 20 pedestrians
(12.5% j. Motorised two wheelers and four wheelers
were involved in rtas in which 39(24.4%) and
34(21.3%) pedestrians were injured respectively. A
total of 254 drivers were involved in rtas. Among the
drivers of different types of vehicles, there were 38.6%
bicyclists and 16.9% bullock cart drivers. Motorized
two wheeler drivers were victims in 31.1% cases while
bus and four wheeler drivers were victims in 5.1% and
3.5% cases respectively. Among motorized two
wheelers 14(5.5%) were scooter drivers. Occupants of
trucks (12.6%). Among the motorized two wheelers
(11.3%), the pillion riders of scooters were least
involved (2%), other occupants were from four
wheelers of 312 occupants, bus occupants were the
highest numbers (48%) of victims involved in rtas
followed by like jeep, car.
Among the motorized two wheelers, moped drivers
were more commonly involved in rtas. This could be
due to the higher speed, which can be achieved over
short distances and less stability of the vehicle. One of
the most common mode of transportation used by
people is the bus and this is reflected by the fact that
bus occupants constituted the highest number (48%)
of rta victims.
Prompt and adequate ambulance service should be
provided to the victims with the help of government
and other voluntary agencies. Computerization and
use of International Classification of Diseases code in
the hospitals would help in preparation of a good
database for future studies and other uses.
5
Deaths due to road
traffic crashed in
Hyderabad city in
India: need for
strengthening
surveillance
(Dandona, R. and
Mishra, A., 2003)
Objective was to assess the
utility of the available data on
deaths due to road traffic
crashes for road crash
surveillance for a major
metropolitan city of southern
India. analysed the
Department of Police
database on deaths due to
road traffic crashes for 2002
in Hyderabad, southern India
and collected data from a
leading newspaper for the
same information using a
standardized format.
Pedestrians and riders of two-wheelers were the most
vulnerable. Collision with a vehicle caused 86.4% of all
crashes and 60% of the victims died before reaching a
hospital.
The available data have limitations and there is a need
for strengthening the road traffic crash surveillance
system to have reliable, accurate and adequate data
on road traffic crashes and the resulting fatalities and
injuries. These could then form the basis for planning
effective intervention strategies to improve road
safety.
no
6
Road Accident
Analysis: A Case
Study of Patna City
(Singh, S. K. and
Misra, A., 2001)
Aims to analyze the road
accidents in patna from 1996-
2000.
In patna fatalities related to pedestrian, two wheeler
and cyclist accounted for more than 98 % of cases
which is very high.most of the accidents were due to
buses and trucks (22 and 20% resp)
Segregation of traffic is one of the solution given
no
7
A comprehensive
study of motorcycle
fatalities in South
Ninety four cases of
motorcycle fatalities received
from South Delhi were
Motorcycle fatalities cases represented 5.38% of all
autopsy cases during the study period. In a majority of
cases offending vehicles were, the heavy weight motor
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65
Delhi (Behera, C. et
al., 2009)
,
studied during April 2007 to
March 2008 at All India
Institute of Medical Sciences,
Delhi. Data was analyzed with
regard to the age and sex of
the victim, pattern of injury,
use of helmet and presence
of alcohol in victim, cause of
death, time of accident,
mode of transportation of
the victims to hospital, and
offending vehicles.
vehicle (34.04%) followed by the medium weight
motor vehicle (19.14%).most of the deceased on
motorcycle were drivers (78.72%), out of which only
54.05% wore a helmet at the time of accident
8
Two wheeler
accidents on Indian
roads--a study from
Mangalore, India
(Jain, A. et al., 2009)
This study was undertaken to
find the trend of two wheeler
accidents over the five years
(2000–2004) with respect to
age and sex of the victim,
type of injury sustained, type
of vehicle involved and time
distribution of accidents.
The rider was affected in maximum number of
accidents (51.3%), the pillion and pedestrian were also
affected, but to a lesser extent .the type of two
wheeler mainly involved in accidents was the geared
vehicle; the number of such vehicles being 865 (81%)
compared to 211 (19%) non-geared vehicles.
In the light of the findings of this study, it is
recommended that education regarding road safety
should be imparted especially to the young age group.
They should be made aware of the traffic rules and
urged to strictly follow traffic rules. Construction of
properly planned roads and over-bridges to cope up
with the increasing burden of vehicles with emphasis
on lane driving will help the cause. Speed limit should
be strictly enforced in accident-prone areas. Efforts
should be made to reduce congestion on road
particularly during rush hours and especially in the
zones prone for accidents. Periodic surveillance and
repair of roads especially after rainy season is
suggested in this region. Use of helmets should be
made mandatory not only for the rider but also for the
pillion. For pedestrians, there should be complete
segregation by providing sidewalks on both sides of
the road. Measures like ‘zebra crossing’ and
construction of over-pass or sub-way if feasible can go
a long way in reducing morbidity and mortality among
pedestrians.
no
9
Analysis of fatal
road traffic
accidents in a
coastal township of
South India/ 2012
(Kanchan, T. et al.,
2012)
With the aim of exploring
various epidemiological
characteristics of RTAs, this
retrospective analysis of
medico-legal autopsies was
conducted between January
2005 and December 2009 in
the Department of Forensic
Medicine, Kasturba Medical
College, Manipal in
Karnataka, South India. The
information was collected
from post-mortem registers
and inquest documents
received from the
investigating police officers.
Occupants of motorized two wheelers (43%) and
pedestrians (33%) were the most common victims of
RTAs followed by occupants of light motor vehicles
(LMVs). The most common offending agents in road
traffic accidents were heavy motor vehicles (35.2%)
followed by light motor vehicles (31.7%).
no

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10
A Population-Based
Study on Road
Traffic Injuries in
Pune City, India
(Mirkazemi, R. and
Kar, A., 2014)
This study was conducted
with the aim of identifying
the burden, pattern, and risk
factors of RTIs in the
population of Pune City. A
population-based cross-
sectional study was
conducted among 9014
individuals in a randomly
selected and representative
sample of the population
from 14 administrative wards
of the city from March 2008
to April 2009.
Univariate analysis showed a significant association
between rtis and age, gender, occupation, mode of
transport, driving a vehicle, and alcohol abuse.
Multivariate analysis showed that only age, driving a
vehicle, and alcohol abuse were the factors associated
with rtis.
Injury occurrence was significantly more among the
age group 15-30, males, and students and workers.
yes
11
Evaluating Safety of
Urban Arterial
Roads of Medium
Sized Indian City
(Prajapati, P. and
Tiwari, G., 2013)
This paper estimates the
safety performance of urban
arterial mid-block of medium
sized Indian city based on
fatal crashes as a function of
traffic level and road network
features. The fatal crashes on
arterial mid-blocks are
analyzed separately from
junction crashes. The
accident prediction models
developed are based on 126
fatal crashes occurred in 6
years (2005-2010) in
Vadodara, India on 263 mid-
block arterial road segments.
It was found that number of fatal crashes increases as
the traffic level and length of road segment increases
and decreases as the number of junction per kilometer
increases on the road segment. These findings have
important bearing on the design of urban arterial
roads. In the absence of facilities for pedestrians and
bicyclists, arterial roads with wider carriageway and
higher number of lanes increase the risk of fatal crash
for pedestrians and bicyclists. Presence of medians
may result in higher speeds of motorized vehicles and
in the absence of facilities for pedestrians and
bicyclists the crash risk increases.
The impact of other geometric design parameters
should be evaluated to improve the road safety.
yes
12
Epidemiology of
road traffic accident
deaths in children in
Chandigarh zone of
North West India
(Singh, D. et al.,
2015)
Present study was carried out
to provide a baseline data to
policy makers to plan safer
transportation routes and in
setting up of health care
centers in areas that report a
higher number of accidents.
The present study is an
analysis of postmortem
records of 709 RTA-related
deaths in children
(⩽18 years) in Chandigarh
zone, undertaken at Post
Graduate Institute of Medical
Education and Research
(PGIMER), Chandigarh
between 1974 and 2013. The
autopsies on these cases
were conducted by the
department of Forensic
Maximum fatalities were reported among the
pedestrians (47.8%) followed by two wheeler
occupants (33.1%). The proportion of pedestrians and
heavy motor vehicle (hmv) fatalities decreased from
64% to 46% and 14% to 5% correspondingly in the
years 1974–78 and 2009–13. However, the proportion
of two wheeler and light motor vehicle (lmv) fatalities
increased from 18% to 39% and 0% to 7% respectively
in the years 1974–78 and 2009–13. The least
commonly affected was the three wheeler group
To bring the mortality rate down, children, especially
with rural background should be made aware about
the importance of strict compliance to traffic rules and
regulations. One of the best ways to do it is to include
road safety issues in school curriculum. Those children
who ride bicycles should be made to wear helmets as
it is expected to reduce the severity of injury to the
head. Drivers should avoid talking on mobile phones
while on roads.
yes

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Medicine, PGIMER,
Chandigarh.
The present study has highlighted the urgent need to
frame road safety policies like separate lanes for
different vehicles as the traffic in India in general and
this region in particular consist of all kinds of
automobiles including two wheelers, three wheelers
and four wheelers thus increasing the chances of
accidents. Installation of red lights and marking of
zebra crossings on the roads near schools and
playgrounds would be a welcome decision. The
government should also ensure that the vehicles
follow speed limits.
13
Pattern of Road
Traffic Accidents in
Bhubaneswar,
Odisha (Kar, S. et
al., 2015)
Objectives was to (1) To
estimate the incidence and
distribution of RTA in the
year 2012. (2) To determine
the epidemiological
variations of accidents in the
city. (3) To suggest
recommendations to the
traffic police and
administration.
The epidemiological trends that emerged were that
84% occurred in urban areas and mainly on the
National Highways (46.7%); 18% of RTA occurred
during rainfall, though no significant association could
be made out and much is attributed to under reporting
of data; motor cars (37%) and trucks (19.1%) were
predominately involved. Majority of the victims were
in the productive age group, 18–24, years and mainly
constituted males (68%).
Reporting of the accidents should be made as per the
formats generated at the national level.
-A mapping of accidents area wise should be done by
police to identify vulnerable points and patrolling
reinforced in those areas.
-Strict reinforcement of laws for rash driving, as side
and head-on collisions have been identified as the
major causes of RTA.
-As the productive age group is being affected,
especially the teens, some counseling programs and
Awareness Drives should be initiated regarding this.
-There should be a yearly assessment in liaison with
the health facility so that other concerns can be
brought out and effective management of the injured
can be planned.
-Timings of accidents should be kept in mind while
deputing traffic personnel, and for the late timings
also, a back-up plan should be devised.
-Urban and rural plans should be made, as problems
are different in both.
no
14
Why do three-
wheelers carrying
schoolchildren
suffer very low fatal
crashes? (Pandey,
G. et al., 2015)
The objective of the study
was to investigate the
hypothesis that drivers
behave differently while
following or overtaking three-
wheelers carrying children.
This paper investigates the
possible causes of low
fatalities in three-wheelers
(autorickshaw) carrying
schoolchildren in India.
The data was collected in the
form of First Information
Report (FIR) from local police
stations from 2007 to 2012
and video-graphic surveys
It was found that heavy vehicles maintain more gaps
while following or overtaking three-wheelers carrying
children as compared to those not carrying children. It
was also found that this effect is more prominent at
speeds higher than 40 km/h. On the other hand lighter
vehicles keep the highest lateral and longitudinal gaps
to heavy vehicles and three-wheelers without children
respectively.
yes

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were done on four arterial
roads running through
Ludhiana, Punjab, India.

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6. Way forward
INTERNATIONAL KNOWLEDGE BASE FOR CONTROL OF ROAD TRAFFIC INJURIES
International road safety research has involved a large number of very well trained
professionals from a variety of disciplines over the past four decades. Some very innovative
work has resulted in a theoretical understanding of road traffic crashes as a part of a complex
interaction of sociological, psychological, physical and technological phenomena. The results
could be exchanged and solutions transferred from one high-income country to another
because the conditions in these countries were roughly similar. This understanding of injuries
and crashes has helped high-income countries design safer vehicles, roads and traffic
management systems. A similar effort at research, development and innovation is needed in
India and similar countries. A much larger group of committed professionals needs to be
involved in this work for new ideas to emerge.
International cooperation in the area of road safety should focus on exchange of scientific
principles, experiences of successes and failures, and in scientific training of a large number of
professionals in India. The scientific principles of road safety can be exchanged for the benefit
of everyone. However, the priorities in road safety policies cannot be global in nature because
of the differing patterns of traffic and crash patterns around the world. We analyse below the risk
factors and the availability of known road safety countermeasures in the context of concerns
specific to India.
Results of systematic reviews
Legislation and enforcement
Most attempts at enforcing road-traffic legislation periodically will not have any lasting
effects, either on road-user behaviour or on accidents. Imposing stricter penalties (in the form of
higher fines or longer prison sentences) will not affect road-user behaviour, and imposing
stricter penalties will reduce the level of enforcement (Bjornskau, T. and Elvik, R., 1992).
Increased normal, stationary speed enforcement is in most cases cost-effective. Automatic
speed enforcement seems to be even more efficient. However, there is no evidence to prove
that mobile traffic enforcement for speed control with patrol cars is cost-effective (Carlsson, G.,
1997).
The only effective way to get most motorists to use safety belts is with good laws requiring
their use and sustained enforcement. When laws are in place, education and/or advertising can
be used to inform the public about the laws and their enforcement (O'neill, B., 2001).
In general, the deterrent effect of a law is determined in part by the severity and swiftness of
the penalty for disobeying it, but a key factor is the perceived likelihood of being detected and
sanctioned. Laws against drinking and driving are effective when combined with active
enforcement and the support of the community (Elder, R. W. et al., 2004, Koornstra, M., 2007,
Sweedler, B. et al., 2004).

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Policing methods and enforcement techniques have to be optimized for India to be effective
at much lower expenditure levels. There are no systematic studies evaluating different
techniques followed around the world. Research needs to be done on the effectiveness of
professional driver education, driver licensing methods, and control of problem drivers in Indian
settings.
Education campaigns and driver education
Road-safety campaigns often aim to improve road-user behaviour by increasing knowledge
and by changing attitudes. There is no clearly proved relationship between knowledge and
attitudes on the one hand and behaviour on the other (O'neill, B., 2001, OECD, 1986). Most
highway safety educational programmes do not work. They do not reduce motor-vehicle crash
deaths and injuries (Robertson, L. S., 1980, Robertson, L. S., 1983, Robertson, L. S. et al.,
1974). Only a few programmes have ever been shown to work, and contrary to the view that
education cannot do any harm, some programs have been shown to make matters worse
(Robertson, L. S., 1980, Sandels, S., 1975)(Robertson 1980; Sandels S. 1975). Driver or
pedestrian education programmes by themselves usually are insufficient to reduce crash rates
(Elvik, R. and Vaa, T., 2004). They may increase knowledge, and even induce some behaviour
change, but this does not seem to result in a reduction in crash rates (Duperrex, O. et al., 2003,
Roberts, I. et al., 2003). There is, however, no reason to waste money on general campaigns.
Campaigns should be used to put important questions on the agenda, and campaigns aimed at
changing road-user behaviour should be focused on clearly defined behaviours and should by
preference fortify other measures such as new legislation and/or police enforcement.
The effects of campaigns using tangible incentives (rewards) to promote safety-belt usage
have been evaluated by means of a meta-analytical approach. The results (weighted mean
effect) show a mean short-term increase in use rates of 12.0 percentage points; the mean long-
term effect was 9.6 percentage points (Hagenzieker, M. P. et al., 1997). Research first from
Australia, later from many European countries, then from Canadian provinces, and finally from
some US states clearly shows that the only effective way to get most motorists to use safety
belts is with good laws requiring their use.
Studies show that driver education may be necessary for beginners to learn the elementary
skills for obtaining a license, but compulsory training in schools leads to early licensing. There is
no evidence that such schemes result in a reduction in road-crash rates. On the other hand they
may lead to increased road-crash rates (Mayhew, D. R. and Simpson, H. M., 1996, Vernick et
al., 1999, Williams, A. F. and O'neill, B., 1974). While there may be a need to train professional
drivers in the use of heavy vehicles, there is no evidence that formal driver education should be
compulsory in schools and colleges.
Helmet use reduces bicycle-related head and facial injuries for bicyclists of all ages
involved in all types of crashes, including those involving motor vehicles (Thompson, D. C. et
al., 2003). Similar results have been confirmed for motorcyclists (American College Of, S., 2001,
Bledsoe, G. H. et al., 2002, Brandt, M. M. et al., 2002, Liu, B. et al., 2003, Mcknight, A. J. and
Mcknight, A. S., 1995, Mohan, D. et al., 1984, National Highway Traffic Safety, A., 1996).

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Vehicle factors
Vehicles conforming to EU or USA crashworthiness standards provide significant safety
benefits to occupants, and the effectiveness of the following measures have been evaluated.
Use of seatbelts and airbag-equipped cars can reduce car-occupant fatalities by over 30%.
It is estimated that air-bag deployment reduced mortality by 63%, while lap–shoulder-belt use
reduced mortality by 72%, and combined air-bag and seatbelt use reduced mortality by more
than 80% (Crinion, J. D. et al., 1975, Kent, R. et al., 2005, Parkin, S. et al., 1993).
High-mounted rear brake lights reduce the incidence of rear-end crashes (Etsc, 1993).
A meta-analysis of 17 studies that have evaluated the effects on traffic safety of using
daytime running lights on cars shows that their use reduces the number of multi-vehcle daytime
crashes by about 10–15% for (Elvik, R., 1993). Similar results have been confirmed for the use
of daytime running lights by motorcyclists (Radin Umar, R., 2006, Radin Umar, R. S. et al.,
1996, Yuan, W., 2000).
Improvements in vehicle crashworthiness and restraint use have contributed to a major
reduction in occupant fatality rates and are estimated to be more than 40% in most reviews
(Elvik, R. and Vaa, T., 2004, Koornstra, M., 2007, Noland, R. B., 2003).
However, not enough work has been done to make vehicles safer in impacts with
vulnerable road users, or on vehicles specific to Indian condtions.
Environmental and infrastructure factors
The road environment and infrastructure must be adapted to the limitations of the road user
(Van Vliet, P. and Schermers, G., 2000).
Traffic-calming techniques, use of roundabouts, and provision of bicycle facilities in urban
areas provide significant safety benefits and limited-access highways with appropriate shoulder
and median designs provide significant safety benefits on long-distance through roads (Elvik,
R., 1995, Elvik, R., 2001, Hyden, C. and Varhelyi, A., 2000).
Though improvements in road design seem to have some beneficial effects on crash rates,
increases in speed and exposure can offset some of these benefits (Noland, R. B., 2003,
O'neill, B. and Kyrychenko, S., 2006). Road designs that control speeds seem to be the most
effective crash control measure (Aarts, L. and Van Schagen, I., 2006).
A great deal of additional work needs to be done on rural and urban road and infrastructure
design suitable for mixed traffic to make the environment safer for vulnerable road users. This
would require special guidelines and standards for design of, (a) roundabouts, (b) service lanes
along all intercity highways, and (c) traffic calming on urban roads and highways passing
through settlements.
Pre-hospital care
Recent Cochrane Reviews have concluded that (Bunn, F. et al., 2001, Kwan, I. et al.,
2004a, Kwan, I. et al., 2004b, Sethi, D. et al., 2004):

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There is no evidence from randomized controlled trials to support the use of early or large-
volume intravenous fluid administration in uncontrolled haemorrhage. There is uncertainty about
the effectiveness of fluid resuscitation in patients with bleeding.
The effect of pre-hospital spinal immobilization on mortality, neurological injury, spinal
stability, and adverse effects in trauma patients therefore remains uncertain. Because airway
obstruction is a major cause of preventable death in trauma patients, and spinal immobilization
– particularly of the cervical spine – can contribute to airway compromise, the possibility that
immobilization may increase mortality and morbidity cannot be excluded.
In the absence of evidence of the effectiveness of advanced life support training for
ambulance crews, a strong argument could be made that it should not be promoted outside the
context of a properly concealed and otherwise rigorously conducted randomized controlled trial.
A recent study by Lerner and Moscati shows that no scientific evidence is available for
supporting the concept of the ‘golden hour’ (Lerner, E. B. and Moscati, R. M., 2001). While it is
desirable that we possible time, it is equally important that ambulances do not endanger the life
of others while doing so, and do not waste scarce resources in promoting systems of dubious
benefit (Becker, L. R. et al., 2003).
Before we import expensive pre-hospital care systems from high income countries, it is
necessary that their effectiveness be established.
THE WAY FORWARD
Practice points
Some of the policy options are outlined below.
Pedestrian and bicyclist safety
1. Reserving adequate space for non-motorized modes on all roads where they are present.
2. Free left turns must be banned at all signalized junctions. This will give a safe time for
pedestrians and bicyclists to cross the road.
3. Speed control in urban areas: maximum speed limits of 50 km/h on arterial roads need to be
enforced by road design and police monitoring, and 30 km/h in residential areas and by
judicious use of speed-breakers, dead-end streets and mini roundabouts.
4. Increasing the conspicuousness of bicycles by fixing reflectors on all sides and wheels and
painting them yellow, white or orange.
Motorcyclist and motor vehicle safety
1. Notification of mandatory use of helmet and daytime headlights by two-wheeler riders.
2. All cars to conform to latest international crashworthiness regulations.
3. Pedestrian safety regulations for cars to be notified
4. Enforcement of seatbelt use laws countrywide.
5. Restricting front-seat travel in cars by children and the use of child seats has potential for
reducing injuries to child occupants.

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6. Introduction of active safety technologies like automatic braking, pedestrian detection,
electronic stability control, and alcohol locks.
Road measures
1. Traffic calming in urban areas and on rural highways passing through towns and villages.
2. Improvement of existing traffic circles by bringing them in accordance with modern
roundabout practices and substituting existing signalized junctions with roundabouts.
3. Provision of segregated bicycle lanes and disabled-friendly pedestrian paths.
4. Mandatory road safety audit for all road building and improvement projects.
5. Construction of service lanes along all 4-lane highways and expressways for use by low-
speed and non motorised traffic.
6. Removal of raised medians on intercity highways and replacement with steel guard rails or
wire rope barriers.
Enforcement
1. The most important enforcement issue in India is speed control. Without this it will be difficult
to lower crash rates as a majority of the victims are vulnerable road users.
2. The second most important measure to be taken seriously is driving under the influence of
alcohol. 30%–40% of fatal crashes in India may have alcohol involvement.
3. Enforcement of seatbelt and helmet use.
Pre-hospital care, treatment and rehabilitation
1. Modern knowledge regarding pre-hospital care should be made widely available with
training of specialists in trauma care in the hospital setting.
2. Pre-hospital care programmes should be rationalized on evidence-based policies so that
scarce resources are not wasted.
Research agenda
1. Development of street designs and traffic-calming measures that suit mixed traffic with a
high proportion of motorcycles and non-motorized modes.
2. Highway design with adequate and safe facilities for slow traffic.
3. Design of lighter helmets with ventilation.
4. Pedestrian impact standards for small cars, buses and trucks.
5. Evaluation of policing techniques to minimize cost and maximize effectiveness.
6. Effectiveness of pre-hospital care measures.
7. Traffic calming measures for mixed traffic streams including high proportion of motorised
two-wheelers.
Institutional arrangements
International experience suggests that unless a country establishes an independent national
road traffic safety agency it is almost impossible to promote safety in a comprehensive and
scientific manner. This was stated powerfully in a report Reducing Traffic Injury: A Global
Challenge almost 22 years ago (Trinca, G. W. et al., 1988):

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“Each country should create (where one does not exist) a separate traffic safety agency
with sufficient executive power and funding to enable meaningful choices between strategy and
program options. Such an agency would ideally report directly to the main legislative/political
forum or to the head of government.”
The World Health Organization, in its report World Report on Road Traffic Injury Prevention
(Peden et al. 2004) recommends:
Make road safety a political priority.
Appoint a lead agency for road safety, give it adequate resources, and make it publicly accountable.
Develop a multidisciplinary approach to road safety.
Set appropriate road safety targets and establish national road safety plans to achieve them.
Create budgets for road safety and increase investment in demonstrably effective road safety
activities.”
The following suggestions made by the National Transport Development Committee (National
Transport Development Policy Committee, 2014b) should be considered for implementation.
Establish National Board/Agency for Road Safety.
This Board must be:
(a) Independent of the respective operational agencies to avoid conflict of interest
(b) The CEO of the Board should be of a rank of Secretary to the Government of India and report
directly to the Minister of the concerned ministry
(c) The Board should be staffed by professionals who have career opportunities and working
conditions similar to professionals working in IITs/CSIR laboratories
(d) The Board should have an adequate funding mechanism based on the turnover of that sector
(e) The terms of reference can incorporate the recommendations similar to those included in the
reports submitted by the Committee on Roads Safety and Traffic Management (Committee, 2007).
The Committee also recommended that the Board be given power to not only set standards but
also monitor their adoption and implementation. For this purpose, the Board would empanel auditors to
do spot checks and audits of highways under design, construction or operation to ensure that safety
standards are adhered to. If standards are not adhered to, the Board would have powers to issue
suitable directions with regard to corrective measures. The Board would have similar powers to ensure
that mechanically propelled vehicles conform to safety standards set by the Board. In addition, the
Board would have powers to seek information and reports and access records and documents. Where
the standards set or directions issued by the Board have not been adhered to the Board should have the
power to levy penalties.

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The Committee recommended that a minimum of one per cent of the total proceeds of the cess on
diesel and petrol should be available to the Road Safety Fund of Centre and the States as road safety is a
matter of concern not only on national highways but also on the state roads, village roads and railway
level crossings . Also, at least 50 per cent of the amount retained by the Government of India by way of
the share of the national highways and the Railways should be allocated to accident- prone urban
conglomerations and States in addition to their entitlement. Assistance to the States from the National
Road Safety Fund should be released to support road safety activities provided that the States enter into
agreements with the Government of India in respect of these activities and faithfully implement the
agreements.
Manpower requirements
International experience suggests that the proposed National Road Safety and Traffic Management
Board at maturity would need at least 250-350 professionals to man the eleven departments envisioned
in the report of the Committee. Almost all of these professionals would have to be at the post-graduate
level in the different areas of expertise needed for road safety. This is essential for the following
reasons: (a) the agency would need to have in-house technical expertise to keep abreast of scientific and
technical advancements in road safety knowledge internationally. (b) Since the Board will have the
responsibility of establishing safety standards, it is essential that its staff have domain expertise for the
same. (c) The Board will be sponsoring research in various areas of road safety. For establishment of
research priorities and monitoring of projects the Board would need to have professionals whose
expertise is similar to those working in academic and research institutions.
The role of a national agency such as the one proposed above was highlighted in the World Report
on Road Traffic Injury Prevention (Peden, M. et al., 2004). Without the existence of such an agency,
accountable road safety leadership at country, state, provincial and city does not get established. In the
absence of such leadership it is almost imposable to evolve sustainable policies and establish
mechanisms for their implementation. The national agency will have to focus on the following objectives
in the immediate future (Bliss, T. and Breen, J., 2009):
1. Set project objectives
2. Determine scale of project investment
3. Identify project partnerships
4. Specify project components
5. Confirm project management arrangements
6. Specify project monitoring and evaluation procedures
7. Prepare detailed project design
8. Highlight project implementation priorities
Bliss and Breen (2009) have proposed a set of questions that can be asked to evaluate the
strengths and weaknesses of a national safety agency (Box 3). The project implementation and research
priorities will have to be developed on an urgent basis and measureable targets established for each
five-year plan period. An illustrative list is given in Box 4. The measures and principles outlined for the
national road safety agency can be modified appropriate for national agencies for other sectors.

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National Data Base and Statistical Analysis Systems
At present very little epidemiological information is available in India for deaths and injuries
associated with transport. For evolution of evidence based safety policies and strategies based on the
systems approach, it is necessary to set up reliable data collection and analysis procedures for traffic
accidents in consonance with international practices at different levels. This needs a special input for
establishing special agencies in all sectors of transport.
The national safety agency must include a special department for data collection and statistical
analysis. International experience suggests that such departments need to employ about 50-100
statistical and epidemiology experts who design surveys, data collection methods, perform statistical
analyses and publish reports. It is equally important that all such data be available in the public domain
so that independent researchers outside the official agency can also perform independent analyses and
studies.
The functions of these Departments could include:
Collating relevant data from existing surveillance systems: Census Bureau, National Sample
Survey Organisation, National Crime Record Bureau, Central Bureau of Health Intelligence, etc.
Establishing systems for scientific data collection by the police department
National surveillance systems for all fatal accidents
Sample surveys for specially identified problems
Sample surveillance systems in identified hospitals
Establishment of multidisciplinary accident investigation units in academic and research
institutions
Coordinating with relevant ministries and departments at the central, state and city level for
collating data collected by the respective agencies
Establish safety departments within operating agencies
MoRTH should have an internal safety department (at different levels) for ensuring day to day
compliance with safety standards, studying effectiveness of existing policies and standards, conducting
safety audits, collecting relevant data, and liaison with the National Safety Agency, etc. These
departments must employ 30-60 professional with expertise in the relevant area of safety, with 30-40
per cent of the staff on deputation form the field.
Agencies operating under the Ministry (e.g. National Highway Authority of India) should also
establish their own departments of safety with domain specialists. The functions of these departments
would include field audits, before and after studies, data collection from the field, and liaison with the
relevant ministry and the national safety agency.
Fund establishment of multidisciplinary safety research centres at academic
institutions.
The national safety agencies in each of the transport ministries should establish multidisciplinary
safety research centres in independent academic and research institutions. These centres would ideally

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include three or more disciplines of research, and for each area of work should be at pursued in three or
more centres. This would promote competition among centres and likely to result in more innovation.
Safety research involves the following disciplines: relevant engineering sciences, statistics and
epidemiology, trauma and medical care, sociology, psychology, jurisprudence, and computer science.
For these centres to be productive, each centre should have a minimum of 8-10 professionals. It is also
possible that one academic institution has more than one of these safety research centres. It is
recommended that 15 such centres be established by 2020 and another 15 by 2025.
The funding for each of these centres should include:
Endowment for three or more professorial chairs
Endowment grant for at least two postgraduate scholarships per endowed chair
Establishment funds for critical laboratories
Funds for supporting visiting professionals
Support for surveys, software, travel
For these centres to function effectively the minimum grant per centre per year would be in the
range of Rs. 30-40 million annually including endowment funds. Each national safety agency should
establish procedures for issuing call for proposals and for evaluating the same under open completion. A
procedure should also be established for an academic peer evaluation of each centre every two years.

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