Urban transportation problem is the bottleneck problem [1] of limiting urban economic development [2]. With the rapid development of the scale of the city, it is a hot issue in the urban traffic optimization problem [3] how to use reasonably, scientifically and efficiently the existing urban public traffic network system for passengers traveling to provide strong guarantee. With the rapid development of artificial intelligence algorithms [4], the application of artificial intelligence algorithms in public transport planning is one of the research directions in the field of public transport network optimization [5].


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    Titel :

    Public Traffic Network Simulation System


    Beteiligte:
    Rong, Wen-Jin (Autor:in) / Zhou, Kang (Autor:in) / Dai, Peng (Autor:in) / Li, Song-Ping (Autor:in) / Tan, Wei (Autor:in)


    Erscheinungsdatum :

    2014


    Format / Umfang :

    5 Seiten





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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