This paper considers the efficient operation of shared mobility systems via the combination of intelligent routing decisions for staff-based vehicle redistribution and real-time price incentives for customers. The approach is applied to London's Barclays Cycle Hire scheme, which the authors have simulated based on historical data. Using model-based predictive control principles, dynamically varying rewards are computed and offered to customers carrying out journeys, based on the current and predicted state of the system. The aim is to encourage them to park bicycles at nearby underused stations, thereby reducing the expected cost of redistributing them using dedicated staff. In parallel, routing directions for redistribution staff are periodically recomputed using a model-based heuristic. It is shown that it is possible to trade off reward payouts to customers against the cost of hiring staff to redistribute bicycles, in order to minimize operating costs for a given desired service level.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Dynamic Vehicle Redistribution and Online Price Incentives in Shared Mobility Systems


    Beteiligte:


    Erscheinungsdatum :

    2014-08-01


    Format / Umfang :

    1059877 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Suppliers introduce price incentives for upgrades

    British Library Online Contents | 2003


    PASSENGER ASSISTANT FOR A SHARED MOBILITY VEHICLE

    KALLARA RAJAPPAN ARUN KUMAR / ALAQTASH OBADA ALI TAHA / LANGER PATRICK et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    CONNECTED AUTOMATED VEHICLE HIGHWAY SYSTEMS AND METHODS FOR SHARED MOBILITY

    CHENG YANG / RAN BIN / LI SHEN et al. | Europäisches Patentamt | 2019

    Freier Zugriff