In order to better mine and analyze massive urban traffic data, an effective urban traffic guidance system is established. Based on the taxi trajectory data in Xi’an, with Hadoop and geographic information system (GIS), a visualization platform of WebGIS is constructed. The results show that the system uses parallel data analysis to process data with high precision and high speed. The developed platform is of great significance for transportation big data research and intelligent transportation development.


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    Titel :

    Design and Implementation of Traffic Big Data Visualization Web GIS Platform Based on Hadoop


    Beteiligte:
    Qiao, Zhitao (Autor:in) / Mu, Chen (Autor:in) / Sun, Jichao (Autor:in)

    Kongress:

    20th COTA International Conference of Transportation Professionals ; 2020 ; Xi’an, China (Conference Cancelled)


    Erschienen in:

    CICTP 2020 ; 3101-3106


    Erscheinungsdatum :

    2020-08-12




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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