A comprehensive road traffic Accident Index (AI) of two-lane highway intersection is established, using statistical value of traffic accidents. About 170 highway intersections are surveyed, accidents happened in recent four years at these intersections are collected, and AI of each intersection is calculated. The AI of the intersections is analyzed by the clustering statistical method and the critical value of each grade is generated. The results will provide reference to improving highway intersection safety, and help to optimize the allocation of resources.


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    Title :

    Study on Traffic Safety Classification of Two-Lane Highway Intersection Based on Traffic Accident


    Contributors:
    Wu, Lingtao (author) / Li, Feng (author) / Peng, Daoyue (author) / Shen, Guohua (author) / Tang, Chengcheng (author)

    Conference:

    First International Conference on Transportation Information and Safety (ICTIS) ; 2011 ; Wuhan, China


    Published in:

    ICTIS 2011 ; 127-134


    Publication date :

    2011-06-16




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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