Road accident prone site detection.

•

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Mahendra Gupta

This is simple way to detect accident prone site using Geo-spatial technologies and previous recorded data.

Données & analyses

Road Accident Prone Site Detection
Project
using
Geospatial Technology and its
Application
Submitted By
Mahendra Gupta and Shabeen Taj
Karnataka State Council for Science and Technology
Indian Institute of Science Campus,
Bengaluru - 560012

Outline
1. Introduction
2. Objective
3. Road accident prone site detection
4. Methodology
5. Conclusion
5/8/2016 2KSCST

1. Introduction
According to report of Ministry of Road Transport & Highways,
Govt. of India
 As per 2011 Report
1 accident per minute
And
1 death per 3.7 minute
 Accident was 9th leading
cause in 2005, and it is expected
it will be 5th death cause in 2030
world wide
126896
133938
136834
139091
137423
2009 2010 2011 2012 2013
Number of Accidents
5/8/2016 3KSCST

Causes of Road Accidents
The three different types of factors that
contribute to road Accidents:
1. Human Factors
2. Vehicle Factors and
3. RoadwayFactors
5/8/2016 4KSCST

Road Parameters Affecting the Road Safety
1. Cross-Section
of the Road
3. Curvature of the
Roadway
2. Roadside
Condition
5/8/2016 5KSCST

4. Access Management
The concept that access-related
vehicular manoeuvres and
volumes can have serious
consequences on the
performance of traffic operations
and road safety
5. Sight distance
A sight distance of sufficient
length is necessary so that a
driver can control the operation
of their vehicles to avoid hitting
an unexpected object on the road
5/8/2016 6KSCST

2. Objective
Objective of this work is detection of road accident prone
sites with the help of GIS technologies and past accident data.
3. Road Accident Site Detection
Road accident prone site detection is the process of detection
of sites on roads where accidents are more likely to happen
5/8/2016 7KSCST

4. Methodology
1. Define the area of study.
2. Digitized roads and other spatial entities.
3. Collect the accidental data of that region.
4. Overlay the accident points on the geocoded map.
5. Identify the high accident density region.
6. Mark them as accident prone and suggest required
sign for that region.
7. Propose appropriatesign board for that reason.
8. end
5/8/2016 8KSCST

Road network Overlaying with minor accident
5/8/2016 11KSCST

Road network overlying with minor and
fatal accidents
5/8/2016 12KSCST

Detected sites as accident prone
5/8/2016 13KSCST

We can put board on roads such as
5/8/2016 15KSCST

5. Conclusion
• With the help of past data and GIS
technologies it very easy to detect.
• Reduced accident at some extent.
• Not a quantified way to present how much
that area is prone.
• It need ground truth to decide type of sign
board
5/8/2016 16KSCST

References
• [1] http://www.unescap.org/sites/default/files/2.12.India_.pdf
• [2]World Health Organization (WHO).2004.World Report on Road Traffic Injury Prevention
Washington, DC.
• [3 ] Haddon, W. 1972. A Logistic Framework for Categorizing HighwaySafety Phenomena and
Activity.
• [4 ] The Journal of Trauma, Vol. 12, Lippincon Williams and Wilkins, Washington, DC, pp. 193-207
• [5] Expert Group Meeting on Progress in Road Safety Improvement in Asia and the Pacific, 8-10 May
2013, Seoul, Republic of Korea. Retrieved from:
http://www.unescap.org/ttdw/common/Meetings/TIS/ EGM-Roadsafety-2013/ppt/4.2.KEC.pdf
• [4] Global Plan for the Decade of Action for Road Safety 2011-2020,United Nations, New York.
Retrieved from: http://www.who.int/roadsafety/decade_of_action/plan/plan_english.pdf
• [5] Zegeer C. V., Reinfurt W., Hummer J. Herf L. and Hunter W. 1988. Effect of Lane and Shoulder
Width on Accident Reduction on Rural, Two-Lane Roads. Transportation Research Record. Vol. 806.
Transportation Research Board. Washington, DC.
• [6] Zegeer C. V., Deen R. C., and Mayes J. G. 1981. Safety Effects of Cross-Section Design for Two-
Lane Roads. Transportation Research Record. Vol. 1195.Transportation Research Board.
Washington, DC
5/8/2016 17KSCST

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