Microscopic traffic simulation is effective for analyzing transportation networks. However, performing microscopic simulations for large-scale networks remains a huge computing problem. In this paper, we present ParamGrid, a scalable and synchronized framework that distributes the simulation across a cluster of ordinary-performance, low-cost personal computers (PCs) connected by local area network (LAN). Several key challenges are solved: dividing a large traffic network, routing vehicles traveling across tiles, transferring vehicles across tiles, and globally synchronizing the simulation time to achieve a complete solution to automate scalable concurrent simulations. These solutions are automated in ParamGrid. Our experimental results, using a real-world traffic network for the Long Beach Area in Southern California, show our new framework provides near linear speed-up with number of computers.


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    Titel :

    A distributed, scalable, and synchronized framework for large-scale microscopic traffic simulation


    Beteiligte:
    Klefstad, R. (Autor:in) / Yue Zhang, (Autor:in) / Mingjie Lai, (Autor:in) / Jayakrishnan, R. (Autor:in) / Lavanya, R. (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    220750 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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