More and more complicated driving environments and vehicle interactions have caused more and more crashes in China. This paper presents a method to analyze fundamental attributes for severe crashes on mountainous highways using clustering techniques. Firstly, the relationship between traffic accidents and driver behavior was discussed. Secondly, traffic accident data were collected and classified according to different crash types. Thirdly, cluster techniques were used to analyze the data and driver behavior. The results illustrated that there were four key driver behavior factors contributing to crashes on mountainous roads. These typical driver behavior factors could be used to develop effective countermeasures against traffic crashes for various scenarios in different driving environments.


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    Title :

    Traffic Crash Modeling and Driver Behavior Analysis on Mountainous Highways in China


    Contributors:
    Chen, Ying (author)

    Conference:

    14th COTA International Conference of Transportation Professionals ; 2014 ; Changsha, China


    Published in:

    CICTP 2014 ; 2422-2432


    Publication date :

    2014-06-24




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





    Identification of Abnormal Traffic State and Cause Analysis in Mountainous Highways

    Tang, X. / Chen, Y. / American Society of Civil Engineers | British Library Conference Proceedings | 2010