This article studies Junction-based Model Predictive Control (JMPC) in urban traffic light control. The entire traffic system is decomposed into junction-based subsystems with their own MPC controllers based on a frequently and regularly initialized difference equation (FRIDE). These MPC controllers consider the control effects on adjacent subsystems and inputs effects from adjacent subsystems, which work cooperatively towards system-wide control objectives. The simulation results show that JMPC works much better than some bench-marking strategies. Besides, JMPC is scalable to larger network because of its distributed nature and makes it possible to deal with the complex urban networks.


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    Titel :

    Junction-based Model Predictive Control for urban traffic light control


    Beteiligte:
    Wang, Yu (Autor:in) / Wang, Danwei (Autor:in) / Xu, Bin (Autor:in) / Wongpiromsarn, Tichakorn (Autor:in)


    Erscheinungsdatum :

    01.12.2013


    Format / Umfang :

    296059 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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