Microtransit is a promising solution to the recent challenges faced by the public transit sector in the post-pandemic era. Following previous research that points out the importance of considering travelers with strict arrival time constraints (e.g., for work-related commutes and medical appointments) in microtransit operations, we design a new vehicle scheduling framework that explicitly considers both time-sensitive and flexible passengers and formulate the corresponding variant of the dial-a-ride problem. To efficiently solve this problem, we derive several valid cuts and employ the branch and cut algorithm. The case study based on Chicago data demonstrates that the microtransit service with time-sensitive and flexible travelers can effectively save vehicle mileage and user expenses compared with the ride-hailing service and the microtransit service without considering time flexibility.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Flexible Microtransit Scheduling with Time Sensitive Travelers


    Beteiligte:
    Li, Hongli (Autor:in) / Lei, Zengxiang (Autor:in) / Ukkusuri, Satish V. (Autor:in)


    Erscheinungsdatum :

    24.09.2024


    Format / Umfang :

    4044638 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Demand-Driven Optimization Method for Microtransit Services

    Veve, Cyril / Chiabaut, Nicolas | Transportation Research Record | 2021


    The potential of microtransit for regional commuting

    Geržinič, Nejc / Guček, Marko / Cats, Oded | Springer Verlag | 2025

    Freier Zugriff

    The potential of microtransit for regional commuting

    Nejc Geržinič / Marko Guček / Oded Cats | DOAJ | 2025

    Freier Zugriff

    Travel Time Reliability with Risk-Sensitive Travelers

    Chen, Anthony / Ji, Zhaowang / Recker, Will | Transportation Research Record | 2002


    Travel Time Reliability with Risk-Sensitive Travelers

    Chen, Anthony | Online Contents | 2002