This paper proposes a Model Predictive Control (MPC) strategy of a novel variable speed limit control (VSL) using a line of connected automated vehicles. A discrete first-order model which considers capacity drop of jam waves is extended in this study to incorporate impact of the novel VSL control. Based on the extended model, we cast an MPC scheme into a multi-layer control structure to develop a VSL control strategy in a connected vehicle environment. For the purposes of validation of the extended model and evaluation of the proposed control strategy, a set of microscopic simulation experiments are conducted on a hypothetical multi-lane freeway with temporary jam waves. Simulation results show that the traffic flow model can reproduce traffic evolution under VSL control and a 3.7% reduction of total delay time of mainline traffic can be witnessed.


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    Title :

    Model-based Predictive Variable Speed Limit Control on Multi-lane Freeways with A Line of Connected Automated Vehicles


    Contributors:
    Li, Zhexian (author) / Zhu, Xiake (author) / Liu, Xiaomeng (author) / Qu, Xu (author)


    Publication date :

    2019-10-01


    Size :

    1765128 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English