Artificial Transportation Systems (ATS) can support a variety of computational experiments for different purposes, and have become important tools for transportation research. However, when the road network modeled in ATS is large or there are a lot of vehicles, ATS will run very slow or even cannot be started due to the memory limit of a standalone computer. With the acceleration of urbanization process and rapid increase of car ownership, it is necessary to find a high-performance computing method for running large-scale ATS. Therefore, the paper presents an Erlang-based approach to realize concurrent and distributed computing of ATS. To verify the feasibility, a prototype is built, and a performance test is conducted. The results show the method can achieve the efficiency utilization of computing resources.


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    Titel :

    An erlang-based simulation approach of Artificial Transportation Systems


    Beteiligte:
    Chen, Songhang (Autor:in) / Zhu, Fenghua (Autor:in) / Wang, Fei-Yue (Autor:in)


    Erscheinungsdatum :

    01.11.2016


    Format / Umfang :

    275723 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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