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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    Titel :

    Multi-objective optimization based on vehicle lane change


    Beteiligte:
    Mikusova, Miroslava (Herausgeber:in) / Lan, Wen An (Autor:in)

    Kongress:

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


    Erschienen in:

    Proc. SPIE ; 13018


    Erscheinungsdatum :

    14.02.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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