Autonomous vehicles can profoundly change parking behaviour in the future. Instead of searching for parking, the occupants alight at their final destination and send their occupant-free cars to a parking spot. This paper studies the impact of parking in a morning commute problem with autonomous and regular vehicles. We simplify the complex problem with distinct cost functions to a classic bi-class problem that can be analytically solved. To optimize the system, we develop temporal and spatial parking pricing strategies and a new parking supply design scheme, as practical alternatives for the conventional dynamic congestion pricing.


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    Titel :

    Parking design and pricing for regular and autonomous vehicles: a morning commute problem


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2022-12-31


    Format / Umfang :

    25 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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