Geometric-Semantic-Model and Platform for pavement loading and response monitoring of a German Highway
Additional geographical or spatial references | WIM Research Site (50.79475° N, 6.80217° E) | |
Countries to which the data refer | GERMANY | |
Type of the data | Dataset | |
Type of the data | Model | |
Total size of the dataset | 14475324682 | |
Author | Crampen, David | |
Author | Hartung, Felix | |
Author | Effkemann, Christoph | |
Author | Becker, Ralf | |
Author | Blankenbach, Jörg | |
Upload date | 2025-11-06T11:38:09Z | |
Publication date | 2025-11-06T11:38:09Z | |
Data of data creation | 2024-09-12 | |
Publication date | 2025-11-06 | |
Abstract of the dataset | This data publication contains the data and derivatives corresponding to the geometric-semantic model generated as foundation for the interactive visualization of the Unreal engine-based digital shadow platform for sensor data management and simulation integration for the use case Weigh-in-Motion (WIM) and pavement response analysis. The Demonstrator "3D Interactive Visualization and Physical Mockup of a WIM Research Site" of the DFG Collaborative Research Center SFB/TRR 339 “Digital Twin Road” represents a case study for evaluating the feasibility of integrating multiple monitoring subsystems into a single source of truth representing the main components of a digital shadow system. The system integrates WIM system measurements, simulated pavement deformations and a real-time connection to a small-scale physical mock-up, where vehicle positions and proxy vehicle loading measurements can be monitored in real time. This demonstrates the feasibility of sensor data integration into a single-source-of-truth and linkage of real-time capable pavement analysis simulations into a high fidelity 3D monitoring environment, allowing interaction with the physical environment. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/1758 | |
Public reference to this page | https://doi.org/10.25532/OPARA-977 | |
Publisher | Technische Universität Dresden | |
Licence | Attribution 4.0 International | en |
URI of the licence text | http://creativecommons.org/licenses/by/4.0/ | |
Specification of the discipline(s) | 3::34::315::315-02 | |
Title of the dataset | Geometric-Semantic-Model and Platform for pavement loading and response monitoring of a German Highway | |
Research instruments | Terrestrial Laser Scanner (Riegl VZ600i) | |
Software | Unreal Engine | |
Project abstract | 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 | 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) | https://www.sfbtrr339.de | |
Project title | TRR 339: Digital twin of the road system – Physical-informational representation of the future road system |
Files
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- Name:
- VLS.rar
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- 9.63 GB
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- Unknown data format
- Description:
- This file contains a packaged Unreal Engine project containing the 3D model of the WIM Research Site an map and the data connection handlers detailed above, which hook into data streaming topics via ports of a local network in our project. Unreal Engine can be downloaded for free at: https://www.unrealengine.com/en-US/download The Version used is 5.2 and should be used to exclude potential compatibility issues, the directory includes a simple setup instruction manual.
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- WIM_Research_Site_Survey_Segmented_PC.zip
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- 3.58 GB
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- This file contains the full TLS scan data as LAS segments per class from the annotation process. The data serves as a foundation for different use cases, such as the use case of semantic segmentation. The derivative for semantic segmentation is stored in WIM_Research_Site.h5. This file provides segments with higher density, allowing for object-specific analyses.
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- WIM_Research_Site.h5
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- 282.87 MB
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- Description:
- This file contains the point cloud data (points location, coloring, intensity and classification) recorded by the laser scanner including their metadata.
License bundle
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