Prediction of vehicle traffic accidents using Bayesian networks

Authors

  • Seyed Shamseddin Alizadeh Ph D. Candidate of Occupational Health Engineering, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
  • Seyed Bagher Mortazavi Professor of Occupational Health Engineering, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
  • Mohammad Mehdi Sepehri Associate Professor of Department of Industrial Engineering, Faculty of Engineering, Tarbiat Modares University,Tehran, Iran

Keywords:

Bayesian network, Traffic accidents, injury severity, prediction

Abstract

Every year, thousands of vehicle accidents occur in Iran and result thousands of deaths, injuries and material damage in country. Various factors such as driver characteristics, road characteristics, vehicle characteristics and atmospheric conditions affect the injuries severity of these accidents. In order to reduce the number and severity of these accidents, their analysis and prediction is essential. Currently, the accidents related data are collected which can be used to predict and prevent them. New technologies have enabled humans to collect the large volume of data in continuous and regular ways. One of these methods is to use Bayesian networks. Using the literature review, in this study a new method for analysis and prediction of vehicle traffic accidents is presented. These networks can be used for classification of traffic accidents, hazardous locations of roads and factors affecting accidents severity. Using of the results of the analysis of these networks will help to reduce the number of accidents and their severity. In addition, we can use the results of this analysis for developing of safety regulations.

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Published

2014-06-30

How to Cite

Shamseddin Alizadeh, S. ., Bagher Mortazavi, S. ., & Mehdi Sepehri, M. . (2014). Prediction of vehicle traffic accidents using Bayesian networks. Scientific Journal of Pure and Applied Sciences, 3(6), 356-362. Retrieved from http://sjournals.com/index.php/sjpas/article/view/888

Issue

Vol. 3 No. 6 (2014): June

Section

Engineering

License

Copyright (c) 2014 Seyed Shamseddin Alizadeh, Seyed Bagher Mortazavi, Mohammad Mehdi Sepehri

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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