Automated longitudinal control technology has been tested through cooperative adaptive cruise control (CACC), which is envisioned to improve highway mobility drastically by forming a vehicle platoon with short headway while maintaining stable traffic flow under disturbances. Compared with previous research efforts with the pseudomultiobjective optimization process, this paper proposes an automated longitudinal control framework based on multiobjective optimization (MOOP) for CACC by taking into consideration four optimization objectives: mobility, safety, driver comfort, and fuel consumption. Of the target time headways that have been tested, the proposed CACC platoon control method achieved the best performance with 0.9- and 0.6-s target time headways. Compared with a non-optimization-based CACC, the MOOP CACC achieved 98%, 93%, 42%, and 33% objective value reductions of time headway deviation, unsafe condition, jitter, and instantaneous fuel consumption, respectively. In comparison with a single-objective-optimization-based approach, which optimized only one of the four proposed objectives, it was shown that the MOOP-based CACC maintained a good balance between all of the objective functions and achieved Pareto optimality for the entire platoon.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multiobjective Optimization Framework for Cooperative Adaptive Cruise Control Vehicles in the Automated Vehicle Platooning Environment


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:
    Zhong, Zijia (Autor:in) / Lee, Joyoung (Autor:in) / Zhao, Liuhui (Autor:in)


    Erscheinungsdatum :

    01.01.2017




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Energy-Efficient Cooperative Adaptive Cruise Control for Electric Vehicle Platooning

    Li, Jiahang / Chen, Cailian / Yang, Bo et al. | IEEE | 2024


    Human-Lead-Platooning Cooperative Adaptive Cruise Control

    Zhang, Yiming / Wu, Zhizhou / Zhang, Yu et al. | IEEE | 2022


    Cooperative Adaptive Cruise Control and Decision Making for Fuel-Efficient Vehicle Platooning

    Jia, Xiaomeng / Zhou, Jianshan / Duan, Xuting et al. | Springer Verlag | 2023



    Autonomous Cooperative Platooning Powered by LiDAR-Guided Adaptive Cruise Control

    Thakur, Abhishek / Ram, C.A. Rakshith / Sathvik, Srivishnu et al. | IEEE | 2024