Transportation communities have being developing a variety of Geographic Information System (GIS) roadway datasets. Although many of those datasets are relatively comprehensive and flexible, complex and novel transportation problems with data needs beyond any single existing dataset continue to emerge. In many cases, extracting necessary data elements from multiple datasets and accurately integrating them into a single roadway network becomes a cost-effective solution. This research developed two approaches that can be used for the conflation of data from multiple roadway datasets. One of the approaches was further demonstrated in a case study where it was used to match the Highway Performance Monitoring System (HPMS) data and a private-sector roadway dataset for the contiguous United States.


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    Titel :

    Spatial Approaches for Conflating GIS Roadway Datasets


    Beteiligte:
    Li, Yingfeng (Autor:in) / Liu, Chunxiao (Autor:in)

    Kongress:

    Ninth Asia Pacific Transportation Development Conference ; 2012 ; Chongqing, China


    Erschienen in:

    Erscheinungsdatum :

    28.06.2012




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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