This project investigated how connected and (fully) automated vehicles (CAVs) can affect traffic congestion and travel demand, and developed best-practice recommendations for TxDOT to support CAV adoption and system management through optimal policies and investments. Advances in vehicle communications and automation can reduce travel times and traffic crashes. CAVs offer a relatively low-cost option to increase the capacity of existing rights-of-way, but such improvements require supporting practices.


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    Titel :

    Assessment of Autonomous Vehicles: Traffic Impacts and Infrastructure Needs. Project Summary


    Beteiligte:
    K. Kockelman (Autor:in) / S. Boyles (Autor:in) / P. Stone (Autor:in) / D. Fagnant (Autor:in) / R. Patel (Autor:in) / M. W. Levin (Autor:in) / G. Sharon (Autor:in)

    Erscheinungsdatum :

    2016


    Format / Umfang :

    2 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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