This project primarily addresses the mobility concerns of AVs, while establishing a modeling framework that allows future extensions to assess both mobility and safety. In particular, this research proposes a multi-class traffic flow model that captures the car-following behavior of both regular vehicles and AVs. The research helps determine the impact of vehicle automation on the effective road capacity and operating efficiency of transportation networks. It also provides insights for design of the vehicle control strategies targeting mobility and safety. With the traffic flow model mixing both AV and regular vehicles, future tesearch will be devoted to address knowledge gaps related to the operations of automated vehicles and the existing road infrastructure, and the policy implications for transportation planning, system design, and the economy.


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    Titel :

    What Do Autonomous Vehicles Mean to Traffic Congestion and Crash? Network Traffic Flow Modeling and Simulation for Autonomous Vehicles


    Beteiligte:
    S. Qian (Autor:in) / S. Yang (Autor:in)

    Erscheinungsdatum :

    2016


    Format / Umfang :

    6 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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