In this paper our objective is to minimize passengers waiting times at the bus stops by making buses wait at a stop. We compare a simple rule based approach to a Monte-Carlo method to reach this objective. When allocated enough time, the Monte-Carlo method gives better results. If the passengers arrivals and the bus travel times are known, the best algorithm is nested Monte-Carlo search with memorization which clearly outperforms nested Monte-Carlo search without memorization as well as Monte-Carlo and rule based regulation.


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    Title :

    Using a monte-carlo approach for bus regulation


    Contributors:


    Publication date :

    2009-10-01


    Size :

    1259095 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English