Tire Footprint Measurements of Commercial Truck Tires
References to related material | https://doi.org/10.34726/9259 | |
Type of the data | Dataset | |
Total size of the dataset | 3881898 | |
Author | Yordanov, Ventseslav | |
Author | Hartung, Felix | |
Author | Eckstein, Lutz | |
Upload date | 2025-12-02T09:06:00Z | |
Publication date | 2025-12-02T09:06:00Z | |
Data of data creation | 2022-07 | |
Publication date | 2025-12-02 | |
Abstract of the dataset | This data publication presents high-resolution measurements of tire contact patch pressure distributions obtained using a capacitive pressure-mapping sensor with 1.6 mm spatial resolution and 65,536 sensing points. The dataset captures contact pressures between 69 kPa and 2070 kPa for two commercial truck tires. Footprints were recorded at various wheel loads under a constant inflation pressures, providing detailed insight into load-dependent pressure behavior. All measurements were taken with the sensor mounted on a flat surface within the experimental setup, while the ika’s tire stiffness test rig (SteiReP) supplied controlled loading conditions to ensure repeatable data acquisition. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/1874 | |
Public reference to this page | https://doi.org/10.25532/OPARA-1028 | |
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::407-04 | |
Title of the dataset | Tire Footprint Measurements of Commercial Truck Tires | |
Research instruments | Tire Stiffness Test Rig (SteiReP, see https://www.ika.rwth-aachen.de/de/kompetenzen/ausstattung/pruefstaende/steirep-de.html) | |
Underlying research object | Pirelli ST:01T 385/55 R22.5 160K | |
Underlying research object | Pirelli TR:01T 315/70 R22.5 154L | |
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 |
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