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Levels of data collection

Depth of detail

Base

Intermediate

Police Data

Traffic Data

Injury coding

In-depth multidisciplinary causativeCrash reconstruction

PRIMARY LEVEL DATA

The analyses of primary level data is expected to accomplish the

following important functions:

• 1. To give perspective view of the RTC situation in terms of

who is involved (the type of road user) where (Urban or rural

area, road layout), when (day or night) and under what

circumstances.

• 2. To enable trends to be examined, and provide a basis

for comparison against which road safety workers may match

their performance, either within or between state or national

administrations.

To provide a basis for establishing priorities for action.

For the primary level data to be meaningful other

important issues are:

1. How to improve the reliability and consistency of

reporting the data elements, and

2. Integrating it with reliable exposure data for

distance traveled in different modes of transport to

examine trends.

Establishment of a quality data base at the

primary level requires improving the quality of

police recording system.

It is a complex task because

(1) The data base maintained by the police -- the

primary level data -- is expected to accomplish multiple

objectives, ranging from providing epidemiological

information to documenting the baseline information upon

which the evaluation of countermeasures can be judged,

and

(2) in countries like India, the police or the traffic police, if

it exists as a separate entity, does not have the resources

or the level of training required to carry out a systematic

collection of data as it is done in many high income

countries.

Table: Minimum Common Variables in Data Recording System

S.No. VARIABLES NAME OF COUNTRIES

1

Name of

Town/Village/Road 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17

2 Date Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

3 Month Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

4 Time Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

5 Weekday Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

6 Light/Illumination Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

7 Weather Y Y Y Y Y Y Y Y Y Y Y Y Y Y NO Y Y

8

Type of control at

junction Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

9 Road Surface condition Y Y Y Y Y Y Y Y Y Y Y Y Y Y NO Y Y

10 Accident Severity Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

11 Victim Name add Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

12 Vehicle Type Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

Note:

[1] Virginia/USA [2] Illinois/USA [3] Maryland/USA [4] Mass. /USA [5] Australia [6]FDR (Germany) [7] Switzerland

[8] Singapore[9] Barbados [10] Malaysia [11] Indonesia [12] Pakistan [13] Sri lanka [14] India*

[15]Mumbai/India* [16] Bangalore/India* [17] TRL, UK

* Forms similar to TRL form; Information from Police records is transcribed.

* * Police forms maintained in case file

Y: YES and N: NO

Traffic Police data comparison HIC vs LIC

Table: Detail Comparison of Data Collection System Forms

NAME OF COUNTRIES

S.No. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17

1 General Details

Identification (police station

code etc) O O O O O O O O O O O O O O O O O

Date, Day, Time O O O O O O O O □ O O O O O O O O

Lighting O O O O □ O O □ O O O O O O O O O

Weather O O O O O • • • ◊ O O O O O □ ◊ O

Traffic Type O O O O O O O O ∆ O O O O O ∆ □ O

2 Locational Details

Site description O O O O O O O O O ◊ ◊ O □ ◊ ∆ ∆ ∆

Road Surface ◊ ◊ O O ◊ • • • ◊ O O O O O O O O

Character of Road O O O O O O O O ∆ O O O □ □ □ □ O

3 Vehicle Details

Vehicles type O O O O O O □ O ∆ ∆ ∆ ∆ ∆ ∆ ∆ ∆ ◊

Vehivles identification O O O O O O O O ◊ O O O O □ □ O O

Manoeuvre • O O O O • • ◊ ∆ ∆ ∆ ◊ ∆ ∆ ∆ ∆ ∆

4 Driver Details O O O O O O O O O O O O O O O O O

5 Victim Details

Name, Age, Address O O O O O O O O O O O O O O O O O

Position in vehicle/manoeuvre O O O O O O O O O □ ∆ O □ ◊ ◊ ◊ □

Injury O O O O O O O O O O O O O □ □ O •

Note:

[1] Virginia/USA [2] Illinois/USA [3] Maryland/USA [4] Mass. /USA [5] Australia [6]FDR (Germany) [7] Switzerland

[8] Singapore[9] Barbados [10] Malaysia [11] Indonesia [12] Pakistan [13] Srilanka [14] India*

[15]Mumbai/India* [16] Bangalore/India* [17] TRL, UK

O Minimum number of items present in majority of the form

□ Minimum number of items present in majority of the form + 1 additional item

◊ Minimum number of items present in majority of the form + 2 additional items

∆ Minimum number of items present in majority of the form + 3 or more additional items

• <Minimum number of items present in majority of the form

Form analysis in Indian

cities

Table : Results of the Field Test of the Preliminary form in Lucknow

VARIABLE REMARKS

General Information:

With the exception ,of "Holiday"

and "Hit and Run" all other

variables filled in all forms

In more than 50% of the forms ,these variables were not

understood

Description Difficulty in writing description in English

Sketch

Sketch was attempted in 60% of the forms ,however ,it

was generally unclear and the minimum required

information was also missing

Type of accident Properly marked in 95% of the forms

Accident spot Properly marked in 95% of the forms

Type of road

Properly marked in 75% of the forms .Term "with

median" and "without median" not well understood

Junction Control

Properly filled in 60% of the forms only. Sometimes

filled for straight roads also.

Type of Vehicle Properly filled in 95% of the forms

Vehicle Manoeuvre

Properly filled in 20% of the forms .

Difficulty in distinguishing and filling type and

manoeuvre of vehicle 1 and vehicle 2.

Name, address, sex, age of victims Properly filled in 95% of the forms

Severity of Injury Only 10% of the forms had indicated.

Position in vehicle Not understood at all.

Table : Error Analysis of Forms

About 1,200 forms maintained by the accident cell of Delhi Police were obtained for analysis of accidents

in Delhi. A random sample of these forms indicates that the following variables were not filled in more

than 50% of the cases:

General Data:

Vehicle damage, Type of road, Type of location, Traffic Management, Traffic volume, Light condition,

Road Condition

Victim Data:

Insurance, Accident caused by vehicle, Damage to vehicle, Driver's License No., License type, Driver's

education, Victim's responsibility, Victim's Injury.

An analysis of the forms show that those filling the forms have difficulty in filling the following variables:

S.No. Variable Difficulty

1 Location

what "near" means in descriptors like "near college"," near office

complex" etc.

2 Type of road what "bend", "narrow bridge"," gradient" mean

3 Traffic condition

"light controlled", "blinker", "police controlled", "traffic light not

operating". what to fill in when these exist but not operative.

4 Traffic volume

how to distinguish "heavy", "moderate", "light", etc what to include

,whether that stretch of road has heavy traffic during accident or at

most times.

5 Type of collision They cannot distinguish thing like" side swipe" and "sliding"

6 Light condition

Descriptors like "twilight"," dark with good street light" and "dark

with street light" not understood.

police personnel have difficulty in understanding the following terms( IIT

study -1991-94):

• a. Traffic and road geometry terminology with which they are not

familiar with, e.g. vertical and horizontal grade of the road, median,

etc.

• b. The complexities involved in the operation of the

heterogeneous traffic makes the interpretation of certain terms

definitions difficult e.g. merging and diverging are not easily

identifiable because of the nature of the traffic where lane driving is at

a limited scale only.

Bangalore example of MAAP

TRRL, 1993-94

Data from case files to coding sheets, not at the site

New coding sheets to save paper, not the original form

Data entered in the computer, variable definitions?

• 2. Instead of directly filling the recommended form at

the site of the crash, the preferred method was continue

the practice of maintaining a case file for each crash

which contains:

(a) Site plan drawn by the investigating officer,

(b) Mechanical inspection report of the vehicle,

(c) Autopsy report or injury report of the victim, and

(d) First Information reports.

• 3. Generally, a simplified version of the

recommended form is used to transfer information from

case file to the form.

The police departments main objective is to

assign blame or fault to a single "cause".

Definitions and terms are interpreted in that light.

For example, yellow marking on the road was

interpreted as median because crossing yellow

marking is illegal.

Vehicle 1 coded as the vehicle at fault or the

accused vehicle and vehicle 2 as the complainant

vehicle. Accordingly, the details of vehicle 1 and

vehicle 2 get biased when they get recorded on

the recommended forms.

MUTP Form(1997-98)

Road Accident Recording Form

Form No:

Filled by: Date filled:

Police report available: Yes/ No If yes, FIR No.

1. Time of accident: (24hr) 2. Date (DD) (MM) (YY)

3. Day: 4. Holiday: 5. Hit & Run: 6. Accident severity:

7. Number of fatalities: 8. No. injured: 9. Number vehicles:

10. Collision type: 11. Collision spot: 12. Type of road:

13. Divider:

14. Location:

15. City/Town/Village name:

16.RoadCategory 17. Distance

Km

m 18. From

Road 2

Road

1

Road

3

19. Name Road 1: 20. Name Road 2:

21. Name Road 3: 22. Landmark:

Brief description of accident:

Form No.

23. Type:

24. Manoeuvre:

25. Loading:

26.Disposition

27. Mechanical Failure

28. Impact- Vehicle/Object

Vehicle 1: 29. Make/Model

30. Type:

31. Manoeuvre:

32. Loading:

33.Disposition



Vehicle 2: 36. Make/Model

37. Type:

38. Manoeuvre:

39. Loading:

40.Disposition



Vehicle 3: 43. Make/Model:

Victim 1: 44. Type:

45. Occupant veh.

46.Road user:

47. Age:

48. Sex:

49. Injury:

50. Pedestrian/vehicle impact

Injury details 51. Mode of treatment 52. Days in Hospital

53. Injury 1 54. Injury 1 severity






65. Most Severe Injury 66. ISS

CODING INSTRUCTIONS FOR ROAD ACCIDENT STUDY

Accident on a straight road Accident at a

crossing 1. Form No: __ __ __ __ __ __ __ __ __

Case Number in serial order

City / Village/ Location No.

Thana No.

For Items 19-21 use codes

as above. Road 3 is not necessary for accidents at crossings

Police report available: 0=No, 1=Yes

3. Day: Monday =1, Tuesday=2, Wednesday=3, Thursday=4,Friday=5, Saturday=6, Sunday=7, Unknown=9.

4. Holiday:0 = No, 1 = Yes, 9=Unknown

5. Hit & Run: 1 = Yes; 0 = No, 9=Unknown

6. Accident severity: 1=Damage Only(DO), 2= Injury, 3=Fatal, 9= Unknown

10. CollisionType: *1 = Hit pedestrian 2 = Vehicles head on 3 = Vehicle hit from back 4 = Vehicle hit from side 5 = Overtun

6 = Vehicle hit fixed object 7 = Run off the road 8= Others 9 = Unknown

11. Collision spot: 1 = On straight road 2 = Road junction 3 = Other 9 = Unknown

12. Type of Road: Type of Surface. 0= Unmetalled 1=Metalled (Black topped/Concrete), 2=Others, 9=Unknown

*In case of more than one type reported in a series of events, the first collision/event will be considered.

13. Divider: Whether divider was present on the road? 0=No, 1=Yes, 9= Unknown

14. Location: 1=Urban, 2=Rural, 3=Semi-Urban, 4=Other, 9=Unknown

ROAD NO 2

ROAD NO 1

ROAD NO 1

ROAD NO 3

ROAD NO 2

16. Road Category: ty/Rural road, 2= State Highway, 3= National Highway, 4= Other, 9= Unknown ( no other road categories

except NH and SH are given as they 1=Ci are the only ones who are appropriately marked on the milepost. For other roads their categories

may not be obvious during data collection at the field.

17. Distance: Km post. In the absence of Km post - from the nearest urban centre.

VEHICLE

23. Road User Type: 1 = Multi-Axle Heavy Goods vehicle 2 = 2-Axle Heavy Goods vehicle 3=Light Goods Vehicle

(V1, V2 etc.) 4 =Bus 5 = Car/van/jeep/taxi 6 = Three wheeler scooter rickshaw 7 = Motorcycle/scooter/moped

8 = Tractor 9 = Cycle rickshaw 10 = Thela 11 = Animal drawn vehicle 12=Bicycle

13= Pedestrian 14 = Other 99 = Unknown

24. Manoeuver 1 = Proceeding straight 2 = Turning 3 = Reversing 4 = Overtaking 5=Parked/Stopped 6 = Other

of vehicle crash time: 9 = Unknown

25. Loading: 1=Normal; 2= Overloaded; 3= Others; 9= Unknown

26. Disposition of vehicle: 0=Not Roadworthy (needs to be towed away); 1= Roadworthy ( can drive away ), 9 = Unknown

27. Mechanical Failure: 1=Yes; 0=No; 9= Unknown

28. Impact-Vehicle/Object: Vehicle number ( If another vehicle impacted this vehicle, enter the appropriate number of that vehicle

from section 23) 11=Pedestrian 12=Tree, 13=Kerb/Median; 14= Pole; 15= Other; 99=Unknown

VICTIM 44. Type: 1= Passenger, 2= Driver, 3= Pedestrian, 9= Unknown

45. Occupant Vehicle: Which of the above vehicles (vehicle1/2/3 etc.)? OR Pedestrian =0

46. Road User: Occupant code of Vehicle type/Pedestrian from code 23.

48. Sex : 1 = Male 2 = Female

49. Injury : 0 = No injury 1= Injured 2 = Fatal 9 = Unknown

50. Pedestrian/Vehicle Impact: Enter Vehicle number OR 11= Flying Object, 12= Fall, 13=Others, 99= Unknown

INJURY

51. Mode of Treatment: None 0 First Aid only 1 Discharged after casualty ward treatment 2 Admitted to the hospital 3

Other 8 Unknown 9

52. Number of Days in Hospital: Days, Unknown- 999

53. Injury: From AIS code

54. Injury Severity: -do-

65. Most Severe Injury: -do-

66. ISS: -do-

0

10

20

30

40

50

60

70

80

Truck Bus Car TSR MTW HAPV Bicycle Pedest

Mumbai Delhi Highways

Proportion of road users killed at

different locations in India, percent

IIT Delhi 2002

0

10

20

30

40

50

60

70

Percent

Truck Bus Car TSR MTW

Mumbai Delhi Highways

Proportions of vehicles involved in

fatal crashes

IIT Delhi 2002

Only those cases included where details were known

IIT Delhi December 16


Most crashes away

from junctions

Pattern remains

unchanged after

10years!

Fatalities in Agra

Source : TRIPP, 2012

Highway passing through the city 5

0

CONCLUSION:

Creation of a quality data base requires much more than

introducing a standardized format and a computer

package.

It needs the resolution of the conflicts between recording

of information, which is easily available, and that

information which would be useful for designing

preventive measures.

It is important and difficult at the same time to design a

form, which is clearly understood by those filling the

forms.

Terminology used must be understood by all individuals

and agencies involved.

Only those variables should be included which

suit local conditions. This can be accomplished

by modifying the standardized form to meet the

local needs:

training must be introduced at the training

schools: there must be greater interaction

between police officials and researchers and

policy makers who use and analyse the

recorded data.

Conclusion

perceptions about highway accidents formed by highway users may not reflect the reality about the problem. All of us see damaged vehicles stranded on the highways and are convinced that these kinds of accidents constitute the main problem.

However, findings suggest that though these accidents do cause large economic, time, and efficiency losses, they do not result in a majority of the deaths

Levels of data collection

Depth of detail

Base

Intermediate

Police Data,

Traffic police

Traffic Data

Injury coding, specialists

In-depth multidisciplinary causativeCrash reconstruction

specialists

Epidemiology of fatal crashes, fixing priorities

traffic management

strategies, road designs

Vehicle design,

standards, rd.furniture

design

Accuracy of Police data?

Fatalities ~ 5% under reported

compared to hospital data

Injury RTCs 15-20 times under

reported

Large variation between health

ministry death registrations and police

data

Shortcomings of police data

National level tables(NCRB) for victims

are based on “road user causing the

accident, therefore pedestrians and

bicyclists numbers are incorrect (lower

than actual numbers)

Location is available in the case file, not

marked on the map for analysis and

remedial measures


Data ProblemDifference between Police FIR and NCRB table

GIS

What can be done using GIS Map the location

Map the quantities

Map the densities

How was the GIS used for the project Digital Road Map

Projected Co-ordinate System

Importing Excel sheet

SQL in the attribute table of four years accident points

12/16/2016Analysis of Pedestrian fatal accidents in four

years (2006-09) in Delhi using GIS35

Fatal Accidents in Delhi,

2006-09



ANALYSIS AND

OBSERVATIONS



S.

No. ROADNAME

PEDESTRIAN

FATAL ACCIDENTS

PEDESTRIAN

FATAL ACCIDENTS’

Rate per year

1 RING ROAD 363 2.22

2 MEHRAULI BADARPUR RD 89 1.58

3 GRANT TRUNK ROAD 141 1.50

4 SHIVAJI MARG (najafgarh road) 77 1.28

5 OUTER RING ROAD 193 1.03

6 NH-8 76 0.90

7 ROHTAK ROAD 76 0.83

8 AURBINDO MARG 22 0.65

• Analyzed Pedestrian Fatal Accidents, 2006-09

Top eight roads of Delhi in decreasing order of pedestrian fatal accidents, 2006

• Analyzed Rate of pedestrian fatal accidents per year over the

arterial roads

Contd.

Pedestrian fatalities by buses in four years = 353

Minor Roads = 35%

Arterial Roads = 22%

Sub-Arterial Roads = 15%

Collector Roads = 11%Rest 17% were not captured in 20m buffer on both sides of centerline of roads

Analysis of fatalities at arterial roads done by GIS shows that –

14% of Arterial roads’ accidents were at arterial to arterial road intersections

10% of Arterial roads’ accidents were at arterial to sub-arterial road intersections

Rest 76% at mid-blocks of arterial roadsBuffer radii chosen at arterial intersections was 150m and at arterial-sub arterial intersections was 15m



Contd.



Critical Road sections for pedestrian accidents over Ring Road,

Delhi,2006-09

LEGEND

Contd.



Density map for pedestrian accidents in Delhi,

2006-09

LOWHIGH

RADMS -Tamilnadu

16-Dec-16Tamil Nadu Government

ROAD ACCIDENT DATA MANAGEMENT SYSTEM (TN

Gov.)

Options available through

Tabs

HomeAccident Reporting

Accident Analysis

Query Builder

Reports Help


General Query Builder

Facilitates querying of

accidents based upon

accident parameters.

Easy formation of queries –

combining different

conditions.

Functionality to save

queries and run saved

queries.

ROAD ACCIDENT DATA MANAGEMENT SYSTEM


ROAD ACCIDENT DATA MANAGEMENT SYSTEM

Grid Analysis

• Analysis carried out on a selected rectangular region

• Selected region divided into smaller grids of specified size

• Grid colour indicates the weightage of the grid according to the number of accidents of each severity

Future Directions

FIRs should be freely available (Haryana

and Punjab FIRs on web)

Specialist groups in research and

academic institutes for secondary level

analysis( evaluation of design standards,

construction guidelines,etc)

Specialists groups in Academic institutes

in collaboration with automotive industry

for vehicle standards

Data received at state level, cleaned by state

analysts

Possible data sources

Data Sources Possible biases

1 Police

FIR/casefiles

Injury crashes are under reported

2 Hospital data Crash details are not recorded, depends on

the specialty of the hospital

3 Special

Agencies(conc

essionaires)

BOT operators or toll operators maintain

record of crashes causing damage to the

road furniture along with other crashes

4 Insurance Depends on what injuries and damage to

the vehicles are compensated

5 Research teams Misses out fatal pedestrian and bicycle

crashes where victims are removed quickly

Table 5: Data sources and possible biases

Accident Recording Form, TRIPP, IITD

Road Accident Recording Form

Accident Information

Form No.

Filled By Date filled (dd/mm/yyyy) / /

Police Report Available 0=No 1=Yes If yes, FIR No.

City/Town/Village Name

Time of Accident

Date (DD) (MM) (YYYY)

Day 01=Monday 02=Tuesday 03=Wednesday 04=Thursday 05=Friday

06=Saturday 07=Sunday 08=Unknown

Holiday 0 = No 1 = Yes9=Unknown

Hit and Run 0 = No 1 = Yes9=Unknown

Accident Severity 1=Damage Only 2= Injury 3=Fatal9=

Unknown

No. of Fatalities

No. of Injured

No. of Vehicles Involved

Collision Type

01 = Hit pedestrian 02 = Vehicles head on 03 =

Vehicle hit from back

04 = Vehicle hit from side at right angle 05 = Sideswipe (same direction) 06=

Vehicle Sideswipe (opposite direction)

07 = Overturn 08 = Vehiclehit fixed object 09 =

Run off the road

10= Others 99 = Unknown

Collision Spot 01 = On straight road 02 = Road junction 03 = Other 09 =

Unknown

Type of Road 0= Un-metalled 01=Metalled (Black topped/Concrete) 02=Others

09=Unknown

Divider 1=Two-Way without median2= Two-way with median 3= One-way 9=

Unknown

Location 1=Urban 2=Rural 3=Semi-Urban 4=Other 9=Unknown

Light Condition 1=Day light 2=Dark 3= Dark but lighted 4= Dawn 5= Dusk 9=

Unknown

Road Category RURAL: 1= State Highway 2= National Highway 3= PMGSY

URBAN: 4=Arterial 5= Sub-Arterial 6= Local Street 7= Local 8= Other 9= Unknown

Distance Km post. In the absence of Km post - from the nearest urban

centre(km)(m)

From

Global Position (latitude) (longitude)

Road 1 Road 2

Road 3 Landmark

Brief Description of Accident

Form No. Vehicle No.

Type

01 = Multi-Axle Heavy Goods vehicle 02 = 2-Axle Heavy Goods vehicle 03=Light

Goods Vehicle04 =Mini Bus

05= Bus 06 = Car/van/jeep/taxi 07= Ambulance 08= Fire Fighting Vehicle

09= Three WheelerPassenger 10=Three Wheeler Goods11 =Thela12=Electric Cycle

13 = Tractor without Trailor14= Tractor with Trailor15 = Cycle Rickshaw 16 =

Motorcycle/Scooter/Moped 17 = Animal drawn vehicle

18=Bicycle 19=Pedestrian 20=Others

99=Unknown

Maneuver of Vehicle at Crash Time

01 = Proceeding straight 02 = Turning 03 = Reversing

04 = Overtaking 05=Parked/Stopped

06 = Other 07= Going wrong way 08= Making U turn 09

= Unknown

Loading 1=Normal 2= Overloaded 3= Others9= Unknown

Disposition 0=Not Roadworthy (needs to be towed away) 1= Roadworthy ( can

drive away ) 9 = Unknown

Mechanical Failure 0=No 1=Yes9=Unknown

Hazardous Cargo 0=No 1=Yes9=Unknown

Fire 0=No 1=Yes 9=Unknown

Impact-Vehicle/Object

Vehicle type (If another vehicle impacted this vehicle) 11=Pedestrian 12=Tree

13=Kerb/Median 14= Pole 15=

Other99=Unknown

Make-Model

Model-Year

Form No. Vehicle No

Type

01 = Multi-Axle Heavy Goods vehicle 02 = 2-Axle Heavy Goods vehicle 03=Light Goods

Vehicle04 =Mini Bus

05= Bus 06 = Car/van/jeep/taxi 07= Ambulance 08= Fire Fighting Vehicle

09= Three WheelerPassenger 10=Three Wheeler Goods11 =Thela12=Electric Cycle

13 = Tractor without Trailor14= Tractor with Trailor15 = Cycle Rickshaw 16 =

Motorcycle/Scooter/Moped 17 = Animal drawn vehicle

18=Bicycle 19=Pedestrian 20=Others

21=Unknown

Manoeuvre of Vehicle at Crash Time

01 = Proceeding straight 02 = Turning 03 = Reversing 04

= Overtaking 05=Parked/Stopped

06 = Other 07= Going wrong way 08= Making U turn 09 =

Unknown

Loading 1=Normal 2= Overloaded 3= Others9= Unknown

Disposition 0=Not Roadworthy (needs to be towed away) 1= Roadworthy ( can

drive away ) 9 = Unknown

Mechanical Failure 0=No 1=Yes9=Unknown



Fire 0=No 1=Yes 9=Unknown

Impact-Vehicle/Object

Vehicle type (If another vehicle impacted this vehicle) 11=Pedestrian

12=Tree

13=Kerb/Median 14= Pole

15= Other99=Unknown

Make-Model

Model-Year

Victim Information

Road User 1= Passenger, 2= Driver, 3= Pedestrian, 4=Cyclist, 9=

Unknown

Occupant Vehicle No

Seating Position 01= Front 02= Back 03= Other 09= Not Applicable for

Cyclist/Pedestrian

Location of Non-occupant

AgeIn years, 99 if unknown

Sex 1 = Male 2= Female

Injury 0 = No injury 1= Injured 2 = Fatal 9 = Unknown

Pedestrian/Vehicle Impact by Vehcile No

Mode of Treatment

0=None 01=First aid only 02=Discharge after casualty ward treatment

03=Admitted to hospital 08=Others 09=Unknown

No. of Days in Hospital Days, Unknown- 999

Injury 1 Injury Severity 1






Most Severe Injury ISS

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