cs.CVAug 22, 2026

Vehicle speed dataset for the major European road network derived from Sentinel-2 imagery, 2022-2026

Authors: Maciej Adamiak, Sascha Fendrich, Julian Psotta, Alexander Zipf

Organizations: Heidelberg Institute for Geoinformation Technology (HeiGIT), Germany · Faculty of Geographical Sciences, University of Lodz, Poland · GIScience Research Group, Institute of Geography, University of Heidelberg, Germany

Abstract

The dataset provides individual vehicle speed observations on European E-roads: motorways, trunk roads, primary and secondary roads, as tagged in OpenStreetMap as e-road, for the years 2022-2026. Speeds are derived from Copernicus Sentinel-2 Level-2A satellite optical imagery using a processing pipeline that exploits the short, well-characterized acquisition delays between the blue (B02_10m), green (B03_10m), and red bands (B04_10m) of the Sentinel-2 push-broom instrument. A moving vehicle appears at slightly displaced positions in the three bands, forming a moving echo. The detected displaced intensity peaks are linked into per-vehicle trajectories through a prediction-and-matching procedure. The resulting displacements are converted into ground speeds using publicly accessible inter-band time delays. Each record contains the trajectory geometry, per-channel displacements and headings, internal quality indicators, the estimated speed, the acquisition timestamp, and the source Sentinel-2 product identifier. The dataset is distributed as GeoPackage files, with one record per detected vehicle, and can support studies of traffic patterns, speed behavior, transport modeling, and the calibration of road network attributes at a continental scale.

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