Abstract How to solve rear-end collision warning problem has become an increasingly tough task nowadays. Numerous studies have been investigated on this field in past decades, either time-consuming or with strict assumptions. In this paper, we have proposed a collaborative rear-end collision warning algorithm (CORECWA), to assess traffic risk in accordance with real-time traffic data detected, transmitted and processed, by vehicles and infrastructures in vehicular ad hoc networks (VANETs) collaboratively. CORECWA considers some influential factors, including space headway between the two preceding and following vehicles, velocity of these two vehicles, drivers’ behavior characteristics, to evaluate the current traffic risk of the following vehicle. Experiments results demonstrate that CORECWA can gain better performance, compared with a well-acknowledged algorithm HONDA algorithm.


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    Titel :

    A Collaborative Rear-End Collision Warning Algorithm in Vehicular Ad Hoc Networks


    Beteiligte:
    Zhou, Binbin (Autor:in) / Lv, Hexin (Autor:in) / Chen, Huafeng (Autor:in) / Xu, Ping (Autor:in)


    Ausgabe :

    1st ed. 2016


    Erscheinungsdatum :

    2016-01-01


    Format / Umfang :

    6 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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