Highlights The model explicitly considers spill-back constraints and travel time in the road between intersections. The model unifies traffic light control and route guidance. The state prediction equation in our proposed framework is linear so the model is capable to handle large network in real time control.

    Abstract Advancements in the efficiency, quality and manufacturability of sensing and communication systems are driving the field of intelligent transport systems (ITS) into the twenty first century. One key aspect of ITS is the need for efficient and robust integrated network management of urban traffic networks. This paper presents a general model predictive control framework for both centralized traffic signal and route guidance systems aiming to minimize network congestion. Our novel model explicitly captures both non-zero travel time and spill-back constraints while remaining linear and thus generally tractable with quadratic costs. The end result is a central control scheme that may be realized for large urban networks containing thousands of sensors and actuators. We demonstrate the essence of our model and controller through a detailed mathematical description coupled with simulation results of specific scenarios. We show that using a central scheme such as ours may reduce the congestion inside the network by up to half while still achieving better throughput compared to that of other conventional control schemes.


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    Titel :

    Linear-quadratic model predictive control for urban traffic networks


    Beteiligte:
    Le, Tung (Autor:in) / Vu, Hai L. (Autor:in) / Nazarathy, Yoni (Autor:in) / Vo, Quoc Bao (Autor:in) / Hoogendoorn, Serge (Autor:in)


    Erscheinungsdatum :

    2013-06-30


    Format / Umfang :

    15 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch