We design controllers and derive implementable algorithms for autonomous and cooperative car-following control (CFC) systems under a receding horizon control framework. An autonomous CFC system controls vehicle acceleration to optimize its own situation, whereas a cooperative CFC (C-CFC) system coordinates accelerations of cooperative vehicles to optimize the joint situation. To realize simultaneous control of many vehicles in a traffic system, decentralized and distributed algorithms are implemented in a microscopic traffic simulator for CFC and C-CFC controllers, respectively. The impacts of the proposed controllers on dynamic traffic flow features, particularly on formation and propagation of moving jams, are investigated through a simulation on a two-lane freeway with CFC/C-CFC vehicles randomly distributed. The simulation shows that the proposed decentralized CFC and distributed C-CFC algorithms are implementable in microscopic simulations, and the assessment reveals that CFC and C-CFC systems change moving jam characteristics substantially.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Cooperative Car-Following Control: Distributed Algorithm and Impact on Moving Jam Features




    Erscheinungsdatum :

    2016




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    55.84 / 55.24 / 55.84 Straßenverkehr / 55.24 Fahrzeugführung, Fahrtechnik




    Cooperative Car-Following Control: Distributed Algorithm and Impact on Moving Jam Features

    Wang, Meng / Daamen, Winnie / Hoogendoorn, Serge P. et al. | IEEE | 2016


    Distributed Cooperative Search Control Method of Multiple UAVs for Moving Target

    Chang-jian Ru / Xiao-ming Qi / Xu-ning Guan | DOAJ | 2015

    Freier Zugriff

    Vision-based Cooperative Moving Path Following for Fixed-Wing UAVs

    Felix, Miguel / Oliveira, Tiago / Cruz, Goncalo et al. | IEEE | 2023