The emerging intelligent connected technology provides conditions for obtaining the trajectory of vehicles. To reduce the adverse effects of stop-and-go vehicles in the bottleneck section of expressways, a strategy of coordinated speed control based on trajectory is proposed in a single-lane. Firstly, the trajectories of the connected and autonomous vehicles (CAV) in the downstream vehicle cluster are offset and modified to predict the trajectory of the last human vehicle (HV) based on the information collected by the road side traffic sensors and combined with the speed of traffic wave and the driver’s reaction time. Then, according to the predicted trajectory, the velocity distribution of the first CAV in the vehicle cluster upstream at different time points is planned to restrain the propagation of velocity oscillation, the CAV can gradually merge into the downstream traffic flow at a more reasonable and smooth speed. Finally, the influence of different factors on the suppression of speed oscillation are analyzed by numerical simulation. The results show that: within the numerical simulation range of the designed CAV permeability of 0%∼25% and the starting position of the bottleneck is 575 m∼975 m, the higher the permeability, the farther the starting position of the bottleneck and the smoother the speed curve selected by CAV, the stronger the suppression of speed oscillations, and at the same time it proves that the strategy of coordinated speed control can effectively reduce the fluctuation of traffic flow, improve driver comfort and overall efficiency of vehicle queue.


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    Titel :

    Research on coordinated control of vehicle’s speed in new mixed traffic flow


    Beteiligte:
    Dayi, Qu (Autor:in) / Yanfeng, Jia (Autor:in) / Tao, Wang (Autor:in) / Bin, Li (Autor:in) / Lewei, Han (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2022-10-21


    Format / Umfang :

    13 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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