Vehicles pass unsignalized intersections based on drivers' judgments of collision risk, which often cause traffic conflict. The vehicle-vehicle communication technology can provide a new way to reduce the collision risk at unsignalized intersections. The object of this paper is to propose a vehicle-vehicle conflict detection algorithm and criterions of risk severity judgment based on the vehicle-vehicle information interaction. By using sensors and communication device, vehicles can get their own and other's status information. Trajectories of vehicles predicted by supposed that vehicles keep moving with current motion state. Predicted trajectories are used to judge whether conflicts exist. Time to collision is applied to determine the severity of conflict. The simulation results show that proposed method is feasible.


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    Titel :

    A Vehicle-Vehicle Conflict Detection Algorithm at Unsignalized Intersections Based on the Information Interaction


    Beteiligte:
    Zhang, Ran (Autor:in) / Wang, Yunpeng (Autor:in) / Lu, Guangquan (Autor:in) / Tian, Daxin (Autor:in) / Yu, Guizhen (Autor:in) / Wu, Jian (Autor:in)

    Kongress:

    The Twelfth COTA International Conference of Transportation Professionals ; 2012 ; Beijing, China


    Erschienen in:

    CICTP 2012 ; 1214-1222


    Erscheinungsdatum :

    2012-07-23




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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