Compared with traditional fixed traffic detection, intelligent connected vehicle (CV) brings a new spatial- temporal data environment for urban traffic signal control. However how to evaluate traffic control approaches based on connected vehicle data, especially in different penetration rates environment has been a great difficulty. This paper proposes a simulation framework that incorporates real-world traffic signal controller, system and traffic simulation software, VISSIM. Different penetration rates of connected vehicles could be modeled in VISSIM. We also development a data communication unit (DCU) to exchange real-time information between virtual road networks and real-world traffic signal controller or system via a protocol that we designed. With this simulation framework, researchers could evaluate new traffic signal control strategies based on connected vehicle data, or even multi-source data fusion. Finally, an exemplary traffic control optimization scenario based on CV trajectory data is given to demonstrate the practicability of the simulation framework.


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    Titel :

    A Simulation Framework for Traffic Signal Control under Connected Vehicle Data Environment


    Beteiligte:
    Li, Jinhong (Autor:in) / Wei, Lu (Autor:in) / Gao, Lei (Autor:in) / Yang, Jian (Autor:in)


    Erscheinungsdatum :

    2019-08-01


    Format / Umfang :

    3018282 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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