The document discusses a project aimed at detecting road accident-prone sites using geospatial technology, with a focus on methodologies involving GIS technologies and past accident data. It outlines the objectives, methodology, and conclusions regarding the identification of high accident density regions and the implementation of appropriate signage to enhance road safety. The findings suggest that while the approach aids in detection, it requires further validation through ground truth assessments.

1. 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

2. Outline
1. Introduction
2. Objective
3. Road accident prone site detection
4. Methodology
5. Conclusion
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3. 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
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4. Causes of Road Accidents
The three different types of factors that
contribute to road Accidents:
1. Human Factors
2. Vehicle Factors and
3. RoadwayFactors
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5. Road Parameters Affecting the Road Safety
1. Cross-Section
of the Road
3. Curvature of the
Roadway
2. Roadside
Condition
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6. 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
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7. 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
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8. 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
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10. Digitized Road Network
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11. Road network Overlaying with minor accident
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12. Road network overlying with minor and
fatal accidents
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13. Detected sites as accident prone
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15. We can put board on roads such as
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16. 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
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17. 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
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18. ?
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19. Thank you!
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