Exact(3)
The University of Cambridge's engineering department contributed road network datasets from the late 18th century to today.
Extensive experiments using real road network datasets demonstrate the effectiveness and the efficiency of the proposed algorithms.
Travel time computation is no longer a prohibitively time consuming and computationally intensive task, thanks to powerful GIS software, hardware, and rich road network datasets [ 14- 17].
Similar(57)
The road dataset was compiled and imported into ArcGIS software to generate a road network dataset.
Extensive experiments using real road network dataset demonstrate the efficiency of the proposed algorithms and the usefulness of the bounded objects updating mechanism.
By using Network Analyst extension tool in ArcMap application of ArcGIS, new road network dataset was created from the error-free road shapefile.
Second, the errors were verified and appropriate correction was implemented using topology editing tool, and ultimately error-free digital road shapefile obtained that could be used to create road network dataset.
The IDOT road network spatial dataset created in 2007 of Iowa roads (primary, secondary, and municipal roads) containing information describing the road segments was used for this study.
The DMTI dataset provided road network driving time estimations based on speed limit and road segment length.
Dataset used are road network spatial data and GPS traces of users.
Distance to roads was calculated from a vector road network extracted from the VMAP Level0 dataset [19].
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