This paper reports on a Red-Light-Running (RLR) prediction scheme for an intersection collision avoidance system that dynamically extends the all-red phase to avoid RLR related collisions. The paper addresses the issues of predicting the red-light running using an infrastructure-based sensor and a vehicle-to-roadside communication (Intellidrive) system. In the infrastructure-based sensor case, we validate the performance of the improved prediction algorithm that incorporats the inter-vehicle (car-following) status. From a field experiment, the study shows that the accurate and timely RLR prediction potential can be obtained through the Intellidrive-enabled system. Moreover, the perspective of the integration of infrastructure-based sensor and Intellidrive is also analyzed in this paper.


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    Titel :

    Red light running prediction for dynamic all-red extension at signalized intersection


    Beteiligte:
    Wang, Lanjun (Autor:in) / Zhang, Liping (Autor:in) / Zhang, Wei-Bin (Autor:in) / Zhou, Kun (Autor:in)


    Erscheinungsdatum :

    2009-10-01


    Format / Umfang :

    965095 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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