This paper presents a spatially formulated cooperative dynamic mandatory connected automated vehicle (CAV) lane-changing and car-following approach on curved highways with the assistance of vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication. This work proposes mandatory lane-changing control in a spatial domain to accomplish car-following and lane-changing efficiency in a systematic manner. This control technique initially creates a virtual CAV car-following lane by assigning CAVs sequential numbers based on their spatial position. On this basis, a multi-objective model predictive control (MPC) strategy in the spatial domain is designed to optimize the trajectories in a rolling horizon fashion in order to maintain the inter-vehicle spacing and speed difference while simultaneously satisfying collision avoidances, traffic regulations, and vehicle kinematics constraints. Multi-scenario numerical simulations are conducted to validate the control efficacy of our technique.


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    Title :

    Cooperative CAV mandatory lane-change control enabled by V2I


    Contributors:
    Ran Yi (author) / Yifan Yao (author) / Fan Pu (author) / Yang Zhou (author) / Xin Wang (author)


    Publication date :

    2024




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




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