Towards detecting, characterizing, and rating of road class errors in crowd-sourced road network databases
OpenStreetMap (OSM), with its global coverage and Open Database License, has recently gained popularity. Its quality is adequate for many applications, but since it is crowd-sourced, errors remain an issue. Errors in associated tags of the road network, for example, are impacting routing application...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Maine
2021-06-01
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| Series: | Journal of Spatial Information Science |
| Subjects: | |
| Online Access: | http://josis.org/index.php/josis/article/view/677 |