City traffic data has several characteristics, such as large scale, diverse, predictable, and real-time, which falls in the range of definition of big data. This paper proposed a cloud service platform, that targets wise transportation in order to carry out unified management and mining analysis of the huge number of the multivariate and heterogeneous dynamic transportation information, provides real-time transportation information, increases the utilization efficiency of transportation, promotes transportation management and service level of travel information, and provides decision support of transportation management by virtual reality as visual.


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    Title :

    Virtual reality GIS and cloud service based traffic analysis platform


    Contributors:
    Li, Xiaoming (author) / Lv, Zhihan (author) / Wang, Weixi (author) / Wu, Chen (author) / Hu, Jinxing (author)


    Publication date :

    2015-06-01


    Size :

    438254 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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