A novel ACC algorithm that fully considers the characteristics of the driver is proposed in order to improve satisfaction and acceptance of the commercial Adaptive Cruise Control (ACC) system in this paper. Firstly, the driving style is analyzed based on the driving data collection through the GMM-KL algorithm, and then the driver model is established and the driver’s sensitivity to tracking error is analyzed and discussed; Afterwards, an MPC-based ACC algorithm is designed which comprehensively considers multiple objectives including the ride comfort, the driving safety and the traffic efficiency. The weighting adjustment mechanism according to the sensitivity analysis is introduced to truly reflect driving fondness of drivers with different driving styles. The simulations show that the proposed ACC algorithm in this paper can achieve reasonable expectation during the car-following and demonstrate the driving habits for drivers, which will help to enhance the adaptability of the ACC system.


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    Titel :

    Research on adaptive cruise control based on driver characteristics


    Beteiligte:
    Li, Jianhui (Autor:in) / Qiao, Xuqiang (Autor:in) / Zheng, Ling (Autor:in) / Li, Yinong (Autor:in)

    Kongress:

    Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021) ; 2021 ; Chongqing,China


    Erschienen in:

    Proc. SPIE ; 12081


    Erscheinungsdatum :

    07.02.2022





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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