This paper proposed a new risk assessment approach based on probability theory and presented corresponding warning strategy for intersection collision avoidance system. Simulation evaluation method was also addressed and evaluation criterions were improved. After an introduction of background and related works of risk assessment for intersection collision avoidance system, a probability model was established to assess crossing path collision risk. Then the warning strategy was made in two traffic scenarios separately. Warning would be issued if risk value beyond risk threshold. A traffic simulation platform was also developed with VISSIM to evaluate collision avoidance performance. The evaluation criterion included not only missed and nuisance warning ratio corresponding to various arrival time difference, but also the required deceleration after warning.


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    Titel :

    A research on risk assessment and warning strategy for intersection collision avoidance system


    Beteiligte:
    Zhu, Tong (Autor:in) / Xu, Jian (Autor:in) / Bai, Yu (Autor:in) / Yang, Xiaoguang (Autor:in)


    Erscheinungsdatum :

    2009-10-01


    Format / Umfang :

    389625 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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