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.
Spatial Approaches for Conflating GIS Roadway Datasets
Ninth Asia Pacific Transportation Development Conference ; 2012 ; Chongqing, China
Sustainable Transportation Systems ; 290-298
28.06.2012
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Methodology for Conflating Large-Scale Roadway Networks
Transportation Research Record | 2022
|New roadway and approaches for Quebec bridge
Engineering Index Backfile | 1950
New roadway and approaches for Quebec bridge
Engineering Index Backfile | 1951
Engineering Index Backfile | 1917