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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    Title :

    Junction-based Model Predictive Control for urban traffic light control


    Contributors:


    Publication date :

    2013-12-01


    Size :

    296059 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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