This paper proposes a priority strategy for personalized vehicular mobility at signalized intersections. The main contributions of this paper are as follows: i) enhance the priority coverage of personalized vehicular mobility within intersections; ii) guarantee the absolute priority of specific type of vehicle; iii) perform well in a partially connected and automated traffic environment. To evaluate the proposed strategy, a microscopic simulation experiment was conducted. Sensitivity analysis was performed for CAV penetration rates and demand levels. Compared to the state-of-the-art strategy, the proposed strategy indicates significant advantages in both effectiveness and performance.


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    Titel :

    Priority for Personalized Vehicular Mobility at Signalized Intersections


    Beteiligte:
    Sun, Xiaoxue (Autor:in) / Guo, Zishen (Autor:in) / Liu, Sijin (Autor:in) / Lai, Jintao (Autor:in) / Zhang, Zhen (Autor:in) / Yang, Xiaoguang (Autor:in)


    Erscheinungsdatum :

    24.09.2024


    Format / Umfang :

    381203 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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