This study proposes a two-level optimization model system for vehicle control and signal timing at isolated signal intersections under the mixed traffic flow environment composed of intelligent connected autonomous vehicles (CAVs) and connected human-driven vehicles (CHVs), to minimize the energy consumption and vehicle delay at intersections. The proposed two-layer optimization model is composed of a two-layer vehicle trajectory control model and a fuzzy control signal timing optimization model. The two-layer vehicle trajectory control model includes a signal-oriented vehicle trajectory control model and a car-following oriented vehicle trajectory control model. The former calculates expected acceleration and speed commands at each time step according to the coming signal information, to help vehicle pass the closest signal intersection without stopping during the green light interval; the latter uses the variable headway (VTH) strategy to follow the preceding vehicle by maintaining a safe distance. A microscopic simulator based on SUMO is developed to test the performance of the proposed optimization algorithm. In the simulation experiment, with the driving characteristics of CHV drivers considered, the results show that our model performs well under a CAV penetration rate of 30%–60% and under small or moderate levels of traffic flow. The average waiting time of vehicles is reduced by about 25% compared with the uncontrolled scheme. Under the condition of penetration rate of 60%, the average energy consumption of vehicles in the proposed model is 17.56% lower than that of the uncontrolled scheme. In addition, the proposed model reduces by 21.94% compared with the scheme of only controlling vehicles. When the traffic flow is at a low or medium level, the average energy consumption and waiting time of vehicles are reduced by nearly 35% with the proposed model.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Vehicle Trajectory Control and Signal Timing Optimization of Isolated Intersection under V2X Environment


    Beteiligte:
    Yazhu Zou (Autor:in) / Moyan Li (Autor:in) / Jiabo Guo (Autor:in) / Enjian Yao (Autor:in) / Rongsheng Chen (Autor:in)


    Erscheinungsdatum :

    2023




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Intersection signal timing and vehicle trajectory collaborative optimization method and device

    HUANG WEI / ZHAO YUXIANG | Europäisches Patentamt | 2023

    Freier Zugriff

    Single-intersection signal timing optimization method based on trajectory data

    ZHANG WEIBIN / BAI ZISHUAI | Europäisches Patentamt | 2020

    Freier Zugriff

    Intersection signal-vehicle trajectory cooperative control method in vehicle-road cooperative environment

    YANG XIAOGUANG / LONG KEKE / MA CHENGYUAN et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    Intersection signal timing method based on low-permeability networked vehicle trajectory data

    HAN YU / HUANG YAQIN / LIU PAN | Europäisches Patentamt | 2022

    Freier Zugriff

    Queue Intensity Adaptive Signal Control for Isolated Intersection Based on Vehicle Trajectory Data

    Juyuan Yin / Peng Chen / Keshuang Tang et al. | DOAJ | 2021

    Freier Zugriff