Citation

Pakgohar A, Tabrizi RS, Khalili M, Esmaeili A. Procedia Comput. Sci. 2011; 3: 764-769.

Copyright

(Copyright © 2011, Elsevier Publishing)

DOI

10.1016/j.procs.2010.12.126

PMID

unavailable

Abstract

Accidents are one of the biggest public health problems in the world. As literature indicated, the traffic accidents were assessed to be most significant health problem in Iran. To date, no serious researches have analyzed high dimensional traffic data In Iran. This paper, therefore, aims to bridge the gap. In this study, the traffic data are analyzed by Data Mining techniques such as Logistic Regression, Classification and Regression Trees. In this paper the impact of such factors were investigated using these techniques. It is hoped that the current research findings will help governments in better road designs and traffic management.

Language: en