Current Adaptive Cruise Control (ACC) systems do not fully consider comfort during driving and adaptability in complex traffic environments, overlooking the differences brought about by different driving conditions. To address this issue, this paper first constructs a longitudinal vehicle dynamics model, switching logic for driving and braking, and an inverse dynamics model, and establishes a lower controller with feedforward plus PID feedback. Then, based on fuzzy theory, a model design and construction of the ACC system's upper controller were carried out. Finally, a CarSim/Simulink joint simulation platform was established to simulate and verify the ACC system designed in this paper. The results show that the ACC system under joint simulation effectively achieves optimization and improvement of vehicle following performance, adaptability, safety, and comfort under different operating conditions.


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    Titel :

    Research on adaptive cruise control strategy adapted to vehicle driving conditions


    Beteiligte:
    Feng, Zhengang (Herausgeber:in) / Mikusova, Miroslava (Herausgeber:in) / Xu, Ting (Autor:in) / Cheng, Xiangyu (Autor:in) / Fan, Na (Autor:in)

    Kongress:

    International Conference on Smart Transportation and City Engineering (STCE 2024) ; 2024 ; Chongqing, China


    Erschienen in:

    Proc. SPIE ; 13575


    Erscheinungsdatum :

    28.04.2025





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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