Internet-of-Vehicles (IoV) technology is the development trend of the intelligent traffic management system, it is also an effective means to ease traffic and improve traffic efficiency. This article used big data analysis technology to build a big data analysis platform of intelligent transportation, the platform is decomposed into infrastructure layer, data analysis layer and application layer; All vehicle information are acquired by several in-vehicle sensors on ECUs or roadside, and the acquired sensor data and received information are for information fusion, processing, trajectory prediction and risk assessment. The platform can solve the problem of storage, analysis and multi terminal distribution of mass data, provide traffic information services to traffic management departments and the public, it is a useful attempt to apply advanced information technology to the transportation industry.


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    Title :

    Big Data Analytics Architecture for Internet-of-Vehicles Based on the Spark


    Contributors:
    Liu, Dan (author)


    Publication date :

    2018-01-01


    Size :

    996714 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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