Hungary Arterial Road Surface and Passability Data (2020-2024)

Covering approximately 30,500 km of arterial roads in Hungary, providing AI-derived surface types, widths, and passability scores generated by HeiGIT. It integrates 2020 and 2024 PlanetScope satellite imagery with OpenStreetMap (OSM) attributes to fill gaps where surface tags are missing. The data focuses on motorways, trunks, primary, and secondary roads that form the national transportation backbone.

Use Cases

• Evaluating logistical accessibility for heavy transport using the Road Width Class (1-3) and HPI scores
• Monitoring national infrastructure development by analyzing the Road Surface Change indicator
• Enhancing routing algorithms by utilizing DL Surface Prediction to identify unpaved segments on arterial routes

Strengths

• Surface model achieved 89.2% accuracy in validation
• Provides temporal change detection between 2020 and 2024 imagery
• Standardized width classification for heavy vehicle logistics

Limitations

• Restricted to arterial roads (motorway, trunk, primary, secondary), excluding local and residential streets
• AI-derived predictions may contain errors compared to ground-level surveys
• Geographic scope is limited to the country of Hungary

Provenance

Source

Heidelberg Institute for Geoinformation Technology (HeiGIT)

Collection Method

Deep learning analysis of PlanetScope satellite imagery combined with OpenStreetMap vector data

Time Range

2020 - 2024

Freshness

Last updated March 2026; includes satellite-derived data from 2020 and 2024.

Geography

Hungary