This research presents a multi-agent based urban demand responsive transport (DRT) system intelligent control model, which adopts a practical multi-agents planning approach for urban DRT services control that satisfies the main constraints: minimize total slack time, travel time, waiting time, client’s special requests, and using minimum number of vehicle. In this paper, we propose an agent based multi-layer distributed hybrid planning model for the real-time problem which can solve this question. In the proposed method, an agent for each vehicle finds a set of routes by its local search, and selects a route by cooperation with other agents in its planning domain. By computational experiments, we examine the effectiveness of the proposed method.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Multi-agent based model for urban demand-responsive transport system intelligent control


    Beteiligte:
    Jin, Xu (Autor:in) / Abdulrab, Habib (Autor:in) / Itmi, Mhamed (Autor:in)


    Erscheinungsdatum :

    01.06.2008


    Format / Umfang :

    305652 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Multi-Agent Based Model for Urban Demand-Responsive Transport System Intelligent Control

    Xu, J. / Abdulrab, H. / Itmi, M. | British Library Conference Proceedings | 2008


    Why urban mass demand responsive transport?

    Jokinen, J. / Sihvola, T. / Hyytia, E. et al. | IEEE | 2011




    A framework for agent based simulation of demand responsive transport systems

    Bischoff, Joschka / Soeffker, Ninja / Maciejewski, Michał | DataCite | 2016

    Freier Zugriff