Extracting Realistic Pedestrian, Cycling, and Driving Street Networks from OpenStreetMap
This paper presents a methodology for extracting realistic and usable pedestrian, cycling, and driving street networks derived from OpenStreetMap (OSM) data. While OSM is a valuable source of information, it is not exempt from inconsistencies and errors, particularly affecting pedestrian and cycling...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-4-W13-2025/103/2025/isprs-archives-XLVIII-4-W13-2025-103-2025.pdf |
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