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.
Vehicle location tracking is the process of using tracking equipment to monitor a vehicle's actual time geographical position. It allows fleet managers, organisations, and people to monitor vehicle movements, optimise routes, and assure safety. As these systems continuously monitor and record vehicle locations, they ma...
Balamurugan Kaliappan, Hariprasath S. P., Balachander K et al.· 2026 International Conferenc...· 0 citations
Urban-scale road traffic noise mapping is frequently constrained by limited access to spatially continuous traffic observations, particularly in data-scarce cities. This study developed an integrated framework for reconstructing road-segment traffic activity from high-resolution satellite imagery and applying it to phy...
Dun-Xin Jia, Chuan-Ping Yuan, Hai-Xia Pu et al.· Sustainability· 0 citations
Findings indicate that decision-level fusion provides scenario-dependent benefits rather than automatic improvement over a strong single-sensor baseline, and AEKF achieves small gains over the LiDAR-only baseline, and object-level connected vehicle observations remain useful when shared at reduced update rates.
Aleksi Pippuri, N. Jayawickrama, Risto Ojala· 0 citations
Reliable road network information is a prerequisite for infrastructure planning, humanitarian operations, and disaster response; however, such information often remains incomplete or outdated in conflict-affected and data-scarce regions. In Juba County, South Sudan, decades of conflict, institutional limitations, and e...
S. Mali· International Journal of Geo...· 0 citations
Existing vehicle detection models, typically trained on general-purpose or non-regional datasets, frequently underperform when applied to local traffic monitoring systems that rely on fixed roadside cameras. Changes in viewpoint, object size, local vehicle types and road conditions creates a domain mismatch between the...
Maroš Jakubec, E. Jakubcová, P. Kudela et al.· Vehicles· 0 citations
Video satellites have opened a new era for city-scale traffic monitoring. However, in the broad and aerial field-of-view of satellite video, vehicles appear extremely dim and dense, often comprising only several pixels. Even worse, the noise signals, illumination fluctuations, and cloud interferences are ubiquitous in...
Jia Shao, Zhi Yin, Jian Zhang et al.· IEEE Transactions on Image P...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.