With the development of information technology and connected vehicles technology, vehicle trajectory crowdsourcing is becoming more prevalent. Detailed vehicle trajectory data provides a new means of signal offset optimization on urban arterials. One critical factor is the sampling frequency (SF) of probe vehicles, which is can significantly impact communication cost and signal offset optimization. Thus, in this study, these issues were examined using field DiDi vehicle trajectory data collected in one arterial of Shenzhen, China. Given an average penetration rate of DiDi vehicles of 7.4%, four SFs, i.e., 1/3, 1/6, 1/9, and 1/12 Hz are set. Signal offset was optimized by examining the average vehicle delay at each intersection. It was found that the performance of offset optimization is enhanced with increased SF but becomes less insensitive when SF is below 1/6 Hz.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Signal Offset Optimization Using Vehicle Trajectory Data with Different Sampling Frequencies


    Beteiligte:
    Meng, Fangfang (Autor:in) / Chen, Peng (Autor:in)

    Kongress:

    20th COTA International Conference of Transportation Professionals ; 2020 ; Xi’an, China (Conference Cancelled)


    Erschienen in:

    CICTP 2020 ; 13-24


    Erscheinungsdatum :

    12.08.2020




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Arterial Signal Offset Optimization Using Crowdsourced Speed Data

    Xia, Liang / Li, Xiaofeng / Shaon, Mohammad Razaur Rahman et al. | Transportation Research Record | 2022


    Traffic signal control using vehicle trajectory data

    LIU XIANGHONG / ZHENG JIANFENG | Europäisches Patentamt | 2019

    Freier Zugriff

    TRAFFIC SIGNAL CONTROL USING VEHICLE TRAJECTORY DATA

    LIU XIANGHONG / ZHENG JIANFENG | Europäisches Patentamt | 2018

    Freier Zugriff

    TRAFFIC SIGNAL CONTROL USING VEHICLE TRAJECTORY DATA

    LIU XIANGHONG / ZHENG JIANFENG | Europäisches Patentamt | 2024

    Freier Zugriff