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.


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    Title :

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


    Contributors:
    Jin, Xu (author) / Abdulrab, Habib (author) / Itmi, Mhamed (author)


    Publication date :

    2008-06-01


    Size :

    305652 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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