At freeway interchange diverging areas, traffic conflicts are caused directly by driving behaviors. This study aimed to investigate the correlation between traffic conflicts and driving behaviors, which include acceleration/deceleration and lane changing at diverging areas based on Chinese cases. Principal component analysis was used to make a dimension reduction of the parameters that influence traffic conflicts. The Bayesian network was used to construct a correlation model between parameters and traffic conflicts in diverging area. A significant correlation existed between the lane-changing position and the traffic conflicts, which were located within 600 m from the beginning of the diverging area and the first 60 m of the deceleration area. A significant correlation existed between acceleration/deceleration and the traffic conflict. Deceleration and lane-changing behavior are the main factors that affect traffic conflicts. The research provided useful advice for driver training programs to reduce casualties and a basis for the active prevention of accidents.


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    Titel :

    Correlation Analysis of Traffic Conflicts and Driving Behaviors at Interchange Diverging Areas


    Beteiligte:
    Hu, Minqi (Autor:in) / Xiang, Qiaojun (Autor:in) / Li, Yan (Autor:in) / Zheng, Zhanji (Autor:in) / Zhang, Xuhua (Autor:in)

    Kongress:

    19th COTA International Conference of Transportation Professionals ; 2019 ; Nanjing, China


    Erschienen in:

    CICTP 2019 ; 435-447


    Erscheinungsdatum :

    2019-07-02




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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