Archived traffic data can be used by various entities and agencies. During the past two decades, considerable effort has been dedicated to developing and implementing large-scale traffic data archives. The Wisconsin Traffic Operation and Safety (TOPS) Laboratory maintains a statewide traffic detector data archiving and retrieving system, which is developed to enable centralized management of statewide ITS detector and configuration dataand improve interactivity and accessibility for integration with other transportation data sources such as lane closure data or incident data. As the traffic data requirements continue to grow, the management of the traffic data archive becomes a complex big data problem. This paper describes a proposed redesign of the TOPS Lab traffic detector archived data management system to improve storage, performance, access, and integration capabilities. Particular detail is given to the data archiving process, including data validation, and support for spatial attributes and GIS data integration.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Large Scale Intelligent Transportation System Traffic Detector Data Archiving


    Beteiligte:
    Qu, Tao (Autor:in) / Parker, Steven T. (Autor:in) / Ran, Bin (Autor:in)

    Kongress:

    15th COTA International Conference of Transportation Professionals ; 2015 ; Beijing, China


    Erschienen in:

    CICTP 2015 ; 431-442


    Erscheinungsdatum :

    2015-07-13




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch