Merging roadways are one of the main reasons for reducing highway traffic safety and transportation efficiency. This paper proposes a multi-vehicle cooperative driving strategy for on-ramp merging in the environment of connected and automated vehicles (CAVs). Based on the principle of first-in-first-out (FIFO), a new algorithm is designed to optimize the merging sequence of CAVs. The velocity profile of each CAV is planned according to the merging sequence to make CAVs pass through the merging zone smoothly and safely. Compared with the FIFO strategy under different traffic demands, the effectiveness of the proposed strategy is validated.


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    Titel :

    Cooperative merging strategy for connected and automated vehicles at highway on-ramps


    Beteiligte:
    Guan, Xiao-Kui (Autor:in) / Hu, Mao-Bin (Autor:in)

    Kongress:

    International Conference on Internet of Things and Machine Learning (IoTML 2021) ; 2021 ; Shanghai,China


    Erschienen in:

    Proc. SPIE ; 12174


    Erscheinungsdatum :

    2022-04-22





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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