Browse > Article

Development of Car Accidents Person Fatality Model using Data Mining  

Kim Cheon-Shik (Major in Digital Media Engineering, Anyang University)
Hong You-Shik (Dept., Computer Science, Sangji University)
Jung Myung-Hee (Major in Digital Media Engineering, Anyang University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea TC / v.43, no.9, 2006 , pp. 25-31 More about this Journal
Abstract
In this paper, a fatality model of car accident using data mining is proposed with the goal of reducing fatality of traffic accident. The analysis results with a proposed fatality model are utilized to improve a technology and environment for driving. For this, traffic accident data are collected, a data mining algorithm is applied to this data, and then, a fatality model of car accident is developed based on the analysis. The training data as well as test data are utilized to develop the fatality model. The important factors to cause fatality in traffic accidents can be investigated using the model. If these factors are taken into account in traffic policies and driving environment, it is expected that the fatality rate of traffic accident can be reduced hereafter.
Keywords
Car Accident; Neural Network; Data Mining; Fatality Model;
Citations & Related Records
연도 인용수 순위
  • Reference
1 weka, http://www.cs.waikato.ac.nz/ml/weka/
2 허명회, 이용구, 데이터마이닝 모델링과 사례, 아카데미 출판사, 2003.7
3 Abdelwahab, H. T. and Abdel-Aty, M. A. 2001, 'Development of Artificial Neural Network Models to Predict Driver Injury Severity in Traffic Accidents at Signalized Intersections'. Transportation Research Record 1746, Paper No. 01-2234
4 Pieter Adriaans, Dolf Zantinge, . Data Mining, Addision wesley longman, 1996
5 김대수, 신경망 이론과 응용, 진한엠앤비 2005
6 Ossenbruggen, P.J., Pendharkar, J. and Ivan, J. 2001, 'Roadway safety in rural and small urbanized areas'. Accidents Analysis and Prevention, 33 (4), pp.485 - 498   DOI   ScienceOn
7 이홍로, 2004년도 교통문화지수 조사 보고서, 교통안전공단, 2004.12
8 Sohn, S. Y., and Lee, S. H. 2003, 'Data Fusion, Ensemble and Clustering to Improve the Classification Accuracy for the Severity Road Traffic Accidents in Korea'. Safety Science, 4(1), pp. 1-14   DOI   ScienceOn
9 Kim, K., Nitz, L., Richardson, J., & Li, L., Personal and Behavioral Predictors of Automobile Crash and Injury Severity. Accident Analysis and Prevention, Vol. 27, 40. 4, 1985, pp. 469-481   DOI   ScienceOn
10 http://www.foxnews.com. 1998. 5. 15