There is much speculation about the prospective impacts of automated vehicles (AVs) on parking supply and behaviour, however the literature contains little quantitative evidence. In this study, we develop a mixed-integer non-linear optimisation (MINLP) model of revenue maximisation to design parking facility layouts for privately-owned automated cars that include separate vehicle-storage and drop-off/pick-up zones (DOPU, or alternatively termed “PUDO zones”). The control variable is the allocation of space between these two competing uses. The model balances between revenue derived from parking (including revenue during activity time) and costs associated with the range of AVs’ parking and loading/unloading activities. Via numerical analysis of an archetypal shopping centre's parking facility, the authors demonstrate that the model responds intuitively to the stimulus of systematically varying the input parameters. This study is intended to provide an incremental advance to support researchers and practitioners tasked with quantifying the impacts of AVs on the parking system.


    Zugriff

    Zugriff über TIB


    Exportieren, teilen und zitieren



    Titel :

    Optimal storage and loading zones within surface parking facilities for privately owned automated vehicles


    Beteiligte:
    Kong, You (Autor:in) / Le Vine, Scott (Autor:in) / Liu, Xiaobo (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2019-08-29


    Format / Umfang :

    7 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch







    Simulating the impact of privately owned automated vehicles within the region Test Bed Lower Saxony, Germany

    von Schmidt, Antje / Heinrichs, Matthias / Behrisch, Michael | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022

    Freier Zugriff

    A Truthful Mechanism for Rentals of Privately Owned Electrical Vehicles

    Ilie, Mihaela / Ilie, Sorin / Razafindrazanakolona, Andrianjafimanjato Daniel | IEEE | 2021