Highlights An analytical model of the expected saturation flow of mixed AV and NV traffic streams is derived. The model explicitly considers the placement of AVs and NVs in the mixed stream. Expected delay of an interrupted mixed flow is analytically modelled. Analytical saturation flow and delay models are validated with microsimulation experiments. An optimal lane management algorithm for a two-lane road is proposed.

    Abstract Presence of autonomous vehicles (AVs) affects traffic flow characteristics of a mixed traffic stream comprising human-driven vehicles. To model the impact of AVs on the saturation flow of arterials and highways, we propose analytical models to derive the expected value and variance of headway of a traffic stream with mixed AVs and conventional human-driven (or normal) vehicles (NVs), given the expected penetration rate of AVs. The proposed model considers the arrangement (order) of AVs and NVs in the mixed stream and the expected, the lowest, and the highest achievable headways and their variability are analytically derived. Moreover, the total delay of a two-lane road with interrupted traffic flow is analytically modeled for various possible lane allocation policies: (a) dedicated lanes, (b) mixed-mixed lanes, (c) mixed-NV lanes, and (d) mixed-AV lanes. Microsimulation experiments demonstrate the validity of the developed models for the average headway and its variability, as well as the delay formulas.


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    Titel :

    Mixed flow of autonomous and human-driven vehicles: Analytical headway modeling and optimal lane management


    Beteiligte:


    Erscheinungsdatum :

    2019-10-20


    Format / Umfang :

    17 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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