Weigh-in-Motion and Environmental Data from a German Highway

Hagmanns, Moritz Peter Mathias; Jablkowski, Boguslaw; Hartung, Felix; Fazekas, Adrian; Oeser, Markus

Weigh-in-Motion and Environmental Data from a German Highway

Additional geographical or spatial references datacite.geolocation	WIM Research Site (50.79475° N, 6.80217° E)
Countries to which the data refer datacite.geolocation.iso3166	GERMANY
References to related material datacite.relatedItem	https://doi.org/10.1109/ACCESS.2025.3614461
Type of the data datacite.resourceTypeGeneral	Dataset
Total size of the dataset datacite.size	697320935
Author dc.contributor.author	Hagmanns, Moritz Peter Mathias
Author dc.contributor.author	Jablkowski, Boguslaw
Author dc.contributor.author	Hartung, Felix
Author dc.contributor.author	Fazekas, Adrian
Author dc.contributor.author	Oeser, Markus
Upload date dc.date.accessioned	2025-11-13T15:13:35Z
Publication date dc.date.available	2025-11-13T15:13:35Z
Data of data creation dc.date.created	2025-09-30
Publication date dc.date.issued	2025-11-13
Abstract of the dataset dc.description.abstract	Weigh-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.
Public reference to this page dc.identifier.uri	https://opara.zih.tu-dresden.de/handle/123456789/1737
Public reference to this page dc.identifier.uri	https://doi.org/10.25532/OPARA-964
Publisher dc.publisher	Technische Universität Dresden
Licence dc.rights	Attribution 4.0 International	en
URI of the licence text dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
Specification of the discipline(s) dc.subject.classification	4::44::407::407-02
Specification of the discipline(s) dc.subject.classification	4::44::407::407-04
Title of the dataset dc.title	Weigh-in-Motion and Environmental Data from a German Highway
Research instruments opara.descriptionInstrument	conventional part of Weigh-in-Motion Research System (KiTraffic Digital 9845A)
Research instruments opara.descriptionInstrument	Moxa Asphalt Temperature
Research instruments opara.descriptionInstrument	Thies Clima DLU
Software opara.descriptionSoftware.ResourceProduction	KiTraffic Digital 9845A
Project abstract opara.project.description	The mobility of people and goods is a central basis of our modern society with increasingly global and diverse networked processes. In its present form, mobility, especially with regard to road traffic, is currently confronted with global challenges (durability, safety, efficiency, ecology, costs, automation etc.) that urgently require fundamental solutions. In the planned SFB/TRR 339 (TU Dresden, RWTH Aachen), a spatially and temporally multi-dimensional, digital/virtual image (reality model in space and time) of vehicle, tires and road surface (concrete and asphalt) taking into account the road pavements (integrated multi-functionality) can be developed and researched. The reality model combines all available and relevant information about the "Road of the Future" from physical investigations and modeling as well as from informational and traffic data (sensor data, data models etc.). It enables and requires the interaction between the physical-structural and the informational-traffic design level. This interactive reality model in space and time is called the digital twin of the road system and is used in perspective to analyze, control and forecast the physical original (real road system consisting of vehicle, tires, lane, nearby street space) by means of common interfaces. The extension of the road to a high-tech platform is to be developed using the new, interdisciplinary research approach (civil engineering, computer science, society). The research approach is based on a three-stage development strategy: In Phase I, the required submodels are designed and developed. In Phase II, the partial models are combined using common, standardized interfaces and integrated into a holistic model of the road system (digital shadow), which in Phase III will allow the analysis and control of the road system with its own control components (digital twin). The aim is to achieve the vehicle's already high level of development in the same way for the road system, so that a new quality of integration of vehicles and infrastructure can also be achieved. The overriding aspects of law and sustainability shall be explicitly included in the conception and development of the digital twin of the road system from the start on. The digital twin of the road system will lead to an intelligent, gentle and sustainable use of the road infrastructure. Other expected results are groundbreaking condition forecasts, interfaces to local traffic control, the optimal synthesis of building materials and structures, interfaces to automated driving and the reduction of emissions, e.g. by minimizing traffic jam scenarios or long-lasting road infrastructure components (use of resources).
Funding Acknowledgement opara.project.fundingAcknowledgement	The authors would like to acknowledge the financial support of the research project No. 453596084 - SFB/TRR 339, which has been granted by the German Research Foundation (Deutsche Forschungsgemeinschaft).
Public project website(s) opara.project.publicReference	https://www.sfbtrr339.de
Project title opara.project.title	TRR 339: Digital twin of the road system – Physical-informational representation of the future road system