A multi-objective planning on vehicle lane changing is constructed, the NSGA-II algorithm is used to find the Pareto feasible solution, and the High-D dataset is introduced for validation analysis. The results show that the driver's goal in lane changing is to pursue higher speed and efficiency, when the environment of vehicle lane changing affects the initial headway spacing, headway time distance, maximum acceleration, and maximum speed when changing lanes should 6.54 ~ 8.34m ,1.08 ~ 2.32s , 2 2.24 ~ 4.56 m / s2 ,31.54 ~ 46.74 / s , when the vehicle changing lane can obtain higher speed and efficiency gains with lower vehicle carbon emissions.


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    Title :

    Multi-objective optimization based on vehicle lane change


    Contributors:

    Conference:

    International Conference on Smart Transportation and City Engineering (STCE 2023) ; 2023 ; Chongqing, China


    Published in:

    Proc. SPIE ; 13018


    Publication date :

    2024-02-14





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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