According to the characteristics of traffic accidents of long highway tunnel, this paper proposes a method to identify black spots based on improvable accident of tunnel environment. On the basis of the relationship of traffic accident and long highway tunnel system components, including the driver, the vehicle and the tunnel environment, accidents are classified into seven categories, and this paper only considers four categories relating to tunnel environment. The degree of membership of each accident in the tunnel environment component is used to represent the ability of accidents by tunnel environment improvement. Each accident is weighted by its ability. Then, the method of the equivalent of accident frequency and accident rate is used to identify black spots. Finally, the Kaoyishan tunnel in Beijing-zhuhai freeway in China was applied to analyze black spots using this method. The results show that the proposed method is useful to improve the safety of long highway tunnel.


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    Titel :

    The Method to Identify Black Spots of Long Highway Tunnel


    Beteiligte:
    Ma, Zhuanglin (Autor:in) / Shao, Chunfu (Autor:in) / Zhang, Shengrui (Autor:in) / Zhang, Juan (Autor:in)

    Kongress:

    Ninth International Conference of Chinese Transportation Professionals (ICCTP) ; 2009 ; Harbin, China


    Erschienen in:

    Erscheinungsdatum :

    23.07.2009




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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