Data corresponding to paper: "A Feasibility Study of a Hybrid Digital Shadow System for Pavement-Load Monitoring" by Crampen et al. (submitted 2026)
Additional geographical or spatial references | WIM Research Site (50.79475° N, 6.80217° E) | |
Countries to which the data refer | GERMANY | |
References to related material | https://doi.org/10.25532/OPARA-977 | |
References to related material | https://doi.org/10.25532/OPARA-964 | |
Type of the data | Dataset | |
Type of the data | Text | |
Type of the data | Audiovisual | |
Type of the data | Image | |
Total size of the dataset | 5569578389 | |
Author | Crampen, David | |
Author | Hein, Marcel | |
Author | Schäfer, Simon | |
Author | Anantheswar, Atul | |
Author | May, Marcel | |
Author | Hagmanns, Moritz Peter Mathias | |
Author | Kehls, Jannick | |
Author | Yordanov, Ventseslav | |
Author | Hartung, Felix | |
Author | Kaliske, Michael | |
Author | Wollny, Ines | |
Author | Fazekas, Adrian | |
Author | Oeser, Markus | |
Author | Alrifaee, Bassam | |
Author | Brepols, Tim | |
Author | Scheunemann, Lisa | |
Author | Eckstein, Lutz | |
Author | Blankenbach, Jörg | |
Upload date | 2026-11-04T06:27:46Z | |
Publication date | 2026-11-04T06:27:46Z | |
Data of data creation | 2026-03 | |
Publication date | 2026-11-04 | |
Abstract of the dataset | This data publication contains the data related to the scientific contribution "A Feasibility Study of a Hybrid Digital Shadow System for Pavement-Load Monitoring" by Crampen et al. (submitted 2026). Abstract of the corresponding paper: Highway management requires integrated digital approaches to support predictive maintenance and extend pavement service life. Yet traffic loads, pavement-response simulations, and infrastructure context are commonly handled in isolated systems. Digital Twins can connect perception, analysis, and simulation in real-time but require heterogeneous data and models to be temporally aligned and coherently visualized. We present a functional hybrid Digital Shadow demonstrator for road pavement-load monitoring that establishes interoperability between matching laboratory-scale and highway field installation physical twins, integrating both domains within a shared virtual orchestrator. The system integrates pressure sensing, optical vehicle tracking, chassis sensing, weigh-in-motion, finite element simulations, and a non-intrusive surrogate model into a georeferenced environment, enabling measurements and simulation results to be inspected in spatial and temporal context. Live data integration and real-time pavement-response prediction are demonstrated in the laboratory, while weigh-in-motion (WIM) and chassis-sensor measurements are incorporated through timestamp-consistent replay, and high-fidelity pavement finite element (FE) simulations are integrated offline. With six simultaneously represented vehicles, the platform maintains 85 frames per second (FPS). Average round-trip latency remains below 10 ms and jitter below 6 ms over a wireless local area network (WLAN) at tested send intervals of 2 to 50 ms. The surrogate predicts pavement-response fields in approximately 10 ms, reducing computation time by three orders of magnitude versus the full-order FE model, and achieves a normalized mean squared error (NMSE) below 3 % for 80 % of 1,480 evaluated pressure states. Although pavement-response validation remains model-to-model, the demonstrator provides a functional, extensible foundation for future operational road Digital Twins. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/3016 | |
Public reference to this page | https://doi.org/10.25532/OPARA-1606 | |
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) | 4::44::407::407-01 | |
Specification of the discipline(s) | 4::44::407::407-02 | |
Specification of the discipline(s) | 4::44::407::407-04 | |
Specification of the discipline(s) | 4::45::410::410-04 | |
Specification of the discipline(s) | 4::45::410::410-05 | |
Title of the dataset | Data corresponding to paper: "A Feasibility Study of a Hybrid Digital Shadow System for Pavement-Load Monitoring" by Crampen et al. (submitted 2026) | |
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
Original bundle
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- Name:
- CPM-data.zip
- Size:
- 39.53 MB
- Format:
- Description:
- This file contains the compressed output of the Cyber-Physical Mobility Lab.
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- Name:
- Python_scripts.zip
- Size:
- 23.74 KB
- Format:
- Description:
- These files contain test scripts for establishing a data connection to the Digital Shadow platform.
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- Name:
- style_images.zip
- Size:
- 134.83 KB
- Format:
- Description:
- These files contain the different sign options of the sign gantry that can be installed.
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- Name:
- WIM-data.csv
- Size:
- 1.77 MB
- Format:
- Comma-Separated Values
- Description:
- This file contains the output of the WIM Research Site.
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- Name:
- Demonstrator.zip
- Size:
- 5.14 GB
- Format:
- Description:
- This file contains a packaged Unreal Engine project including the 3D model of the WIM Research Site 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 is 5.2 and should be used to exclude potential compatibility issues.
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- Name:
- Demonstrator_manual.pdf
- Size:
- 1.74 MB
- Format:
- Adobe Portable Document Format
- Description:
- This file contains the user manual of the Demonstrator setup.
License bundle
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- 3.86 KB
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- Item-specific license agreed to upon submission
- Description:
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