基于Sentinel-2影像的欧洲主要公路网车辆速度数据集（2022-2026）

中文摘要 AI 辅助

该数据集提供2022-2026年欧洲E级公路上的单个车辆速度观测数据，这些公路包括高速公路、干线公路、一级公路和二级公路，均为OpenStreetMap中标记的E级公路。速度数据通过哥白尼Sentinel-2 Level-2A卫星光学影像获得，处理流程利用了Sentinel-2推扫式仪器的蓝（B02_10m）、绿（B03_10m）、红（B04_10m）波段之间短暂且特征明确的采集延迟。移动车辆会在三个波段中呈现略微偏移的位置，形成移动回波。通过预测与匹配程序将检测到的偏移强度峰值关联为单车辆轨迹。利用公开可用的波段间时间延迟，将得到的偏移量转换为地面速度。每条记录包含轨迹几何形状、各通道偏移量与航向、内部质量指标、估计速度、采集时间戳以及源Sentinel-2产品标识符。该数据集以GeoPackage文件格式分发，每个检测到的车辆对应一条记录，可支持大陆尺度的交通模式、速度行为、交通建模及公路网属性校准等研究。

英文摘要

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.

发表机构

• Heidelberg Institute for Geoinformation Technology (HeiGIT)（海德堡地理信息技术研究所）
• Faculty of Geographical Sciences, University of Lodz（罗兹大学地理科学学院）
• GIScience Research Group, Institute of Geography, University of Heidelberg（海德堡大学地理研究所地理信息科学研究组）

机构由 AI 辅助整理，请以论文原文为准。