Clustering and Classification of Road Accidents in Iran Using Data Mining Techniques

10.6702/ijbi.2016.11.3.4

Ali Rezaein；Sajad Shokohyar；Sara Zolfaghari

Road accident ； data mining ； clustering ； classification ； regression tree (CART)

International Journal of Business and Information

11卷3期（2016 / 09 / 01）

365 - 383

英文

Road accidents are one of the biggest public health threats in the world. In Iran, the incidence of such accidents has become more important because of the increasing number of trips and fatalities. The purpose of this study is to use data analysis techniques to extract new knowledge from data pertaining to accidents on one of the busiest roads in Iran and the factors affecting the severity of injuries sustained by vehicle drivers in these accidents. Data was collected from the traffic police database relating to accident records over a 36-month period, from January 2010 to December 2013. The authors applied clustering (Kohonen and two-step algorithms) and classification modeling (CART and logistic algorithms). The research analysis identified the eight most important causes of accidents; namely, road geometric characteristic, road direction, lane lines, lack of driver attention to the road ahead, lack of safety equipment, excessive speeding, and improper overtaking. It is hoped that this information will be used to improve overall safety by eliminating or controlling these factors.

1. Behnood ,M., and A.R. Pakgohar. 2008. The Preliminary Plan for Budgeting the Costs of Social Training of Traffic, Organization of Transportation and Traffic Management, Tehran..
2. Pakgohar, A.R. 2007. A study of the critical factors influencing the reduction rate in traffic accidents using CART and LR approaches, Bureau of Applied Research, Traffic Police..
3. World Health Organization. 2001. Global Burden of Disease Estimates. Downloadable from website http://www3.who.int/whosis/menu.cfm?path=burden.
4. Chang, Li-Yen,Wang, Hsiu-Wen(2006).Analysis of traffic injury severity: An application of non-parametric classification tree techniques.Accident Analysis and Prevention,38(5),1019-1027.
5. Chen, L.M.(2010).Data mining of tree-based models to analyze freeway accident frequency.Journal of Safety Research,365-375.
6. Evanco, W.A.(2010).The potential impact of rural mayday systems on vehicular crash fatalities.Accident Analysis and Prevention,455-462.
7. Kashani, T.A.,Shariat-Mohaymany, M.A.(2011).A data mining approach to identify key factors of traffic injury severity.Traffic Transportation,23,11-17.
8. Kim, K.L.,Richardson, L.J.(2011).Personal and behavioral predictors of automobile crash and injury severity.Accident Analysis and Prevention,469-481.
9. Malgundkar, T.,Rao, M.,Mantha, S.(2012).GIS driven urban traffic analysis based on ontology.International Journal of Managing Information Technology,14-25.
10. Mannering, F.A.,Zelalem, S.(2008).An application of non-parametric classification tree techniques in accident analysis and prevention.Analysis of Traffic Injury Severity,38,1019-1027.
11. Martin, P.,Crandall, J. R.,Pilkey, W. D.(2011).Injury Trends of Passenger Car Drivers in the USA.Accident Analysis and Prevention,541-557.
12. Mayhew, D.,Ferguson, S.A.,Desmond, K.G.(2010).Trends in fatal crashes involving female drivers.Accident Analysis and Prevention,407-415.
13. Mussone, L.A.,Ferran, M.(2012).An analysis of urban collisions using an artificial intelligence model.Accident Analysis and Prevention,705-718.
14. Ng, Kwok-Suen,Hung, Wing-Tat,Wong, Wing-Gun(2002).An algorithm for assessing the risk of traffic accident.Journal of Safety Research,33(1),387-410.
15. Olutayo, A.,Eludire, A.(2014).Traffic accident analysis using decision trees and neural networks.International Journal of Information Technology and Computer Science,22-28.
16. Ossenbruggen, A.L.,Pendharkar, M.(2008).Roadway safety in rural and small urbanized areas.Accidents Analysis and Prevention,485-498.
17. Ossiander, E.,Cummings, P.(2002).Freeway speed limits and traffic fatalities in Washington state.Accident Analysis and Prevention,13-18.
18. Pande, A.,Abdel-Aty, M.U.(2006).Assessment of freeway traffic parameters leading to lane-change-related collisions.Accident Analysis and Prevention,936-948.
19. World Health Organization(2008).Annual Report 2008.Geneva, Switzerland: