This paper aims to study the ecological trajectory optimization of intelligent vehicle during lane change, so as to realize the energy saving and emission reduction of vehicle lane change process. Based on VT-Micro model and double quintic polynomial lane-changing trajectory algorithm, multi-objective genetic algorithm was used to calculate the eco-type vehicle speed trajectory during lane-changing. The feasibility of eco-lane-change trajectory optimization was verified by Matlab and Carsim co-simulation. The results show that the optimized lane-change trajectory reduces fuel consumption by 10.1%, NOX emission by 18.2%, HC emission by 9.5%, but CO emission increases by 2.9%.The simulation results verify the feasibility of eco-lane change trajectory optimization, and provide a basis for the ecological planning of intelligent vehicle lane change.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Double quintic polynomial ecological lane change trajectory optimization for intelligent vehicles based on multi-objective genetic algorithm


    Beteiligte:
    Li, Yunfu (Autor:in) / Qi, Yifeng (Autor:in)


    Erscheinungsdatum :

    28.10.2022


    Format / Umfang :

    539814 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Personalized lane changing trajectory planning method based on quintic polynomial

    DAI CHANGHUA / ZHAO KAI / ZHANG YUE et al. | Europäisches Patentamt | 2024

    Freier Zugriff




    Efficent Lane Change Path Planning based on Quintic Spline for Autonomous Vehicles

    Li, Zhiyuan / Liang, Huawei / Zhao, Pan et al. | British Library Conference Proceedings | 2020