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Accident Research Competition
Informative Session - 1
30 OCTOBER 2017
SpeakersMr. Vernon Chinnadurai
Project Leader – Pune, JP Research India Pvt. Ltd.
Mr. Girikumar
Architect, Accident Research
Corporate Research and Advanced Engineering
Vehicle Safety and Assistance Systems
Robert Bosch Engineering Solutions
30th October, 2017 IRCOBI ASIA 2018 - ACCIDENT RESEARCH COMPETITION 2
ARC Webpage detailsAll details and proceedings regarding the competition will be updated to IRCOBI Webpage.
This can be accessed at: http://ircobi.org/wordpress/general-information-asia/accident-research-competition/
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Competition Process
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Step 1: RegistrationStep 2: Data
AnalysisStep 3: Paper Submission
Step 4: Review of Submitted Papers
Step 5: Intimation of Short-Listed
Papers
Step 6: Presentation at
IRCOBI Asia Conference
Declaration of Winners
Important Dates
30th October, 2017 IRCOBI ASIA 2018 - ACCIDENT RESEARCH COMPETITION 5
Registration Opens 23rd October, 2017
Registration Closes 30th November, 2017
Paper Submission Deadline 15th December, 2017
Announcement of Selected Papers 15th January, 2018
1st Session 30th October, 2017
2nd Session 15th November, 2017
3rd Session 02nd December, 2017
Schedule for Informative Webinars
Introduction to DatasetData TablesIndividual excel sheets of the following tables:◦ Accident
◦ Event Sequence
◦ Vehicle
◦ Occupant
◦ Injury
◦ Contributing Factor
Access database of the provided excel.
30th October, 2017 IRCOBI ASIA 2018 - ACCIDENT RESEARCH COMPETITION 6
Introduction to DatasetTable Relationships
Key Variables: CASEID, VEHNO, OCCNO,
INJNO
Key Variables: CASEID, VEHNO, OCCNO,
CF_NO
Key Variables: CASEID, VEHNO
Key Variable: CASEID Accident
Vehicle
Occupant
Injury
Contributing Factors
Event Sequence
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Introduction to DatasetData Variables
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Introduction to DatasetCoding ManualThe help manual provided along-with the dataset provides◦ A list of all the variables under each of the table.
◦ A list of all possible values that the variables can be coded as.
◦ Explanation for what value has to be coded when.
Understanding the help manual is of utmost importance for the analyses. It will help you in understanding:◦ The variables.
◦ Their inter-dependency with other variables.
◦ Links between the different tables provided in the dataset.
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Introduction to DatasetAdditional filesVehicle photos - Exterior 8-Angle photos
2D Scene Diagram (To-scale Aerial View)
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How was this data collected?
On-site crash investigations under the RASSI initiative.
Road Accident Sampling System – India (RASSI)
www.rassi.org.in
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RASSI Data Collection Process
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Example caseUnit 1 (Tractor- Trailer, 2 occupants) was travelling slowly fromnortheast to southwest on the right lane of 6 lane dividedexpressway after being recovered from a previous accident. Unit 2(SUV, 5 occupants) was travelling in the same lane behind Unit 1.
Due to absence of rear tail-lamps / reflectors on Unit 1 and sincethere were no warning about previous accident, Unit 2 failed tonotice Unit 1 on time. Unit 2 tried to avoid by braking but finallyhad a front-rear underride impact with Unit 1.
Post-impact, both Unit 1 and Unit 2 rested near the point ofimpact in the right- most lane. The 5 occupants of Unit 2 weretransported to hospital due to perceived serious injuries out ofwhich 2 occupants later succumbed to injuries. Unit 1 occupantswere not injured.
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Example case
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Tractor-Trailer (Unit 1) SUV (Unit 2)
Example case
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Evidence at Scene:Brake marks
Example case2D SCENE DIAGRAM
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PC Crash Reconstruction
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Contributing FactorsAbsence of reflectors on rear of trailer
Defective tail-lights on trailer
Over-speeding Car
Inadequate warning about accident/break-down
Seat-belts not used by occupants of car
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Example of AnalysisFor the provided dataset, analyses can be done at various levels
Accident Level;
Vehicle Level;
Occupant Level, and so on.
For the purpose of providing an example, we will look at the effect of available road furniture on accidents
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Example of Analysis Software used: Microsoft Excel, Microsoft Access
Tools used: Pivot Table (MS Excel), Query Wizard (MS Access)
STEP 1: Analysis ACCKIND (Kind of Accident) in Accident Table
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Example of Analysis From Help Manual
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Example of Analysis
Result: Leaving the carriageway accidents are maximum,compared to other kind of accidents
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9%
18%
5%
2%1%
32%31%
2%
11%
20%
4%
2%3%
28%
25%
7%
0%
5%
10%
15%
20%
25%
30%
35%
1 2 3 4 5 8 9 10
Kind of Accident Distribution, by Year-wise
Year 1 Year 2
IRCOBI ASIA 2018 - ACCIDENT RESEARCH COMPETITION
Example of AnalysisSTEP 2: Analysis of First Crash Configuration (FIRSTCRA in Accident Table) for all the ‘Leaving the carriageway’ kind of accidents
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3 2 1
21
90
1 1 10
10
20
30
40
50
60
70
80
90
100
Head-On Rear-End Sideswipe Rollover Object M2W self-fall Jack-Knife Truck LoadShift
Example of Analysis
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STEP 3:
a. Using Access, link Accident table to Accident Event Sequence Table.
b. For the filtered data in Accident table for Kind of Accident as ‘Leaving the carriageway’ and First Crash Configuration as ‘Object,’ analyze the OBJCONT (Object contacted) variable where Event number is 1. We choose Event number as 1 since we are interested in only the first crash configuration for the purpose of this analysis.
Example of Analysis
4%
1%
17%
10%
1%
8%
1%
18%
10%
2%
11%
9%
8%
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
Large Tree Bush MetalGuardrail
CableGuardrail
MediumPole
ConcreteBarrier
ImpactAttenuator
Wall Ditch Ground Curb Bridge OtherFixed
Object
Distribution of Object Contacted, N = 90
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Example of AnalysisFurther this data can be analyzed for:◦ Severity Distribution
◦ Post object impact characteristics
◦ Injury Causation components
◦ Contributing Factors, and so on…
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THANK YOU