To achieve carbon peaking and carbon neutrality goals under the new development philosophy, environmentally friendly autonomous driving has become one of the focuses of the automobile industry. It is essential to optimize the fuel consumption in the modeling studies conducted on the trajectories of autonomous vehicles. Moving bottlenecks caused by low-speed vehicles may influence traffic efficiency and generate extra fuel consumption. The emergence of connected self-driving technology makes communications among vehicles and better trajectory control possible. This paper investigates the effects of cooperative adaptive cruise control on fuel consumption under a moving bottleneck. The moving bottleneck is caused by the overtaking of trucks on a two-lane expressway. Our analysis results indicate that cooperative adaptive cruise control can efficiently reduce fuel consumption under the moving bottleneck compared with Gipps’ carfollowing model. Also, the optimization efficiency of cooperative adaptive cruise control increases as the control distance decreases and the initial speed increases.


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    Titel :

    Cooperative adaptive cruise control for connected and automated vehicles under a moving bottleneck


    Beteiligte:
    Zhang, Aobo (Autor:in) / Han, Xiao (Autor:in) / Jia, Bin (Autor:in) / Jiang, Rui (Autor:in)

    Kongress:

    4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022) ; 2022 ; Guangzhou,China


    Erschienen in:

    Proc. SPIE ; 12257


    Erscheinungsdatum :

    2022-08-01





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch