Recently, ridesharing services have grown rapidly. In future, fleets of shared and pooled autonomous vehicles may transform urban mobility. In this paper, we introduce an approach to dynamically simulate these services within a full-stack transport simulation using an insertion-based algorithm. In a first test case, using a taxi data set from Berlin, the potential for shared rides is evaluated using a fleet of vehicles with a capacity between two and four ride requests. The simulation suggests that the overall vehicle kilometers traveled may be reduced by 15-20%, while travel time increases can be kept at a relatively low level of less than three minutes per person. Additionally, the simulation results suggest in which areas of the city it may be the most rewarding to offer shared services.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    City-wide shared taxis: a simulation study in Berlin


    Beteiligte:
    Bischoff, Joschka (Autor:in) / Maciejewski, Michał (Autor:in) / Nagel, Kai (Autor:in) / Technische Universität Berlin (Gastgebende Institution)

    Erscheinungsdatum :

    2017




    Medientyp :

    Sonstige


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    380



    City-wide shared taxis: A simulation study in Berlin

    Bischoff, Joschka / Maciejewsk, Michal / Nagel, Kai | IEEE | 2017


    Ipswich shared taxis study

    Hollings, D. / Inwood, H. | TIBKAT | 1989


    Should autonomous shared taxis replace buses? A simulation study

    Leich, Gregor / Bischoff, Joschka | DataCite | 2018


    crowddeliver: Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis

    Chen, Chao / Zhang, Daqing / Ma, Xiaojuan et al. | IEEE | 2017