Hagmanns, Moritz Peter MathiasJablkowski, BoguslawHartung, FelixFazekas, AdrianOeser, Markus2025-11-132025-11-132025-09-302025-11-13https://opara.zih.tu-dresden.de/handle/123456789/1737https://doi.org/10.25532/OPARA-964Weigh-in-Motion (WIM) systems capture traffic-induced loads under real driving conditions, providing valuable insights into pavement loading. This dataset was collected within the DFG Collaborative Research Center SFB/TRR 339 “Digital Twin Road” using the project’s research WIM installation on the main lane of the A1/A61 highway near Erftstadt, Germany. It originates from Kistler’s KiTraffic Digital system and includes measurements from two sensor rows (four Lineas Digital sensors, type 9181A). Over a six-month observation period in 2025, 3.26 million vehicles with a total of 9.55 million axles were recorded. Each vehicle record provides detailed information on vehicle classification, loads, geometry, and tire-patch dimensions, which are rarely available from real-world WIM systems. In addition, separate environmental factors — such as asphalt and air temperature as well as solar irradiance — were recorded. The dataset supports analyses of load distributions, traffic composition, environmental factor, and speed characteristics, contributing to data-driven modeling of infrastructure loading and digital twins of road systems.Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/4::44::407::407-024::44::407::407-04