Road Surface Classification for Uzbekistan from OpenStreetMap and AI

Approximately 0.2839 million kilometers of roads in Uzbekistan are mapped, with AI-derived estimates classifying 7.3023% as paved and 5.936% as unpaved. The dataset, created by the Heidelberg Institute for Geoinformation Technology (HeiGIT), combines OpenStreetMap data with deep learning predictions from Mapillary imagery and was last updated in March 2026. It aims to address a significant gap, as 86.7617% of road surface information is missing in the original OSM data.

Use Cases

• Transportation planning based on paved vs. unpaved road classifications.
• Infrastructure analysis using attributes like highway type, surface, and width.
• Climate emissions assessment leveraging road surface data for vehicle emission models.
• GIS applications for routing and logistics using the geospatial road network.
• Urban and rural development studies based on the urban classification attribute.

Strengths

• Includes AI-derived surface predictions for approximately 0.2839 million km of roads.
• Combines multiple data sources: OpenStreetMap, Mapillary imagery, and global settlement layers.
• Provides specific statistics on paved (0.0207 million km) and unpaved (0.0169 million km) road lengths.
• Offers multiple classification fields, including OSM-derived, AI-predicted, and combined versions.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.

Provenance

Source

OpenStreetMap (OSM), augmented with deep learning predictions from Mapillary imagery and GHSU/AFRICAPOLIS urban layers.

Collection Method

Surface classification derived using a hybrid deep learning approach, as detailed in referenced arXiv papers.

Time Range

Mean timestamp of predictions is included (DL_mean_timestamp), but overall temporal coverage is not specified.

Freshness

Last updated 2026-03-02 17:28:10.283244; freshness should be verified.

Geography

Uzbekistan.