Traffic mixed with manual vehicles (MVs) and automated vehicles (AVs) will eventually occur. While quantitative analysis of variation trend of penetration rate affecting traffic efficiency and safety is insufficient. This paper studies the influence of typical factors on the mixed traffic flow by extensive simulation experiments. In particular, with VISSIM, the trend of traffic efficiency with the change of AVs’ penetration rate is discussed. An intelligent driver model (IDM) and classic psycho-physiological following model Wiedemann99 are introduced to describe the characteristics of AVs and MVs, respectively. The influence on traffic safety is studied with different time headways, which is a parameter in IDM model parameters. Simulation results illustrate that under the condition of low penetration rate of AVs, the traffic efficiency will increase. When AVs’ penetration rate reaches the peak, the traffic efficiency can increase by 40%. The introduction of AVs will improve the traffic efficiency of mixed traffic flow.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Quantitative Studies on Traffic Efficiency and Safety Variation Trend of Mixed Traffic Flow with Different Penetration Rates of Automated Vehicles


    Beteiligte:
    Sun, Dihua (Autor:in) / Jiang, Ting (Autor:in) / Zhao, Hang (Autor:in) / Zhao, Min (Autor:in) / Li, Wenkai (Autor:in)

    Kongress:

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


    Erschienen in:

    CICTP 2020 ; 50-59


    Erscheinungsdatum :

    09.12.2020




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Automated Vehicles at Unsignalized Intersections: Safety and Efficiency Implications of Mixed-Human-Automated Traffic

    Rahmani, Saeed / Xu, Zhenlin / Calvert, Simeon C. et al. | ArXiv | 2024

    Freier Zugriff

    The Penetration Rate Effect of Connected and Automated Vehicles in Mixed Traffic Routing

    Houshmand, Arian / Wollenstein-Betech, Salomon / Cassandras, Christos G. | IEEE | 2019



    Safety and efficiency characteristics of mixed traffic flow

    Guo, Qianlong / Zhu, Shunying / Wu, Jingan et al. | SPIE | 2024