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Research Article

Open-source data alternatives for regenerating urban road fine-grained features

, , &
Article: 2364679 | Received 18 Mar 2024, Accepted 31 May 2024, Published online: 01 Jul 2024

Figures & data

Figure 1. Typical cross section of a four-layout urban road.

Figure 1. Typical cross section of a four-layout urban road.

Figure 2. Structure of urban road features.

Figure 2. Structure of urban road features.

Figure 3. Flowchart of the proposed approach.

Figure 3. Flowchart of the proposed approach.

Figure 4. Experimental area and data.

Figure 4. Experimental area and data.

Figure 5. Sampling approach of urban road features.

Figure 5. Sampling approach of urban road features.

Figure 6. Principle of geometric measurement.

Figure 6. Principle of geometric measurement.

Figure 7. Fitting of road features.

Figure 7. Fitting of road features.

Figure 8. Extraction of road centreline and sampling results.

Figure 8. Extraction of road centreline and sampling results.

Table 1. Width measurement and error statistic of the No.1 road.

Figure 9. Results of road feature delineation. Blue is the boundary line of urban road, orange is the centreline, and green is the boundary line of isolation belt.

Figure 9. Results of road feature delineation. Blue is the boundary line of urban road, orange is the centreline, and green is the boundary line of isolation belt.

Figure 10. Extraction results of road feature.

Figure 10. Extraction results of road feature.

Table 2. Accuracy statistics table of urban road.

Figure 11. Methods comparison.

Figure 11. Methods comparison.

Table 3. Accuracy comparison.

Table 4. Comparison of the refinement degree of urban road element extraction.

Data availability statement

We would like to thank to OpenStreetMap (https://www.openstreetmap.org) for road network and Baidu (https://lbsyun.baidu.com/) for street view images. We are also thankful to the Amap (https://lbs.amap.com/) and Bigmap (http://www.bigemap.com/) for providing us the AORSIs data. Due to confidentiality agreements, the 1:1000 large scale topographic map data can only be made available to bona fide researchers subject to a nondisclosure agreement. Details of the data and how to request access are available from authors.