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Real-Time Digital Twin for Construction Vehicle Stability Assessment and Visualization with Improved Front-Loader Payload Estimation

Théo Tuerlinckx, Sam Weckx, Steven Robyns and Jeroen De Kooning (UGent)
(2025) Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS - Volume 1. In Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS 1. p.266-277
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Abstract
The stability assessment of construction vehicles, which are part of a constantly growing market, is of a high importance for safety and working efficiency. For such vehicles, the stability is mainly impacted by the carried payload. In this paper, a state of the art payload estimation method, based on simplified motion equations, is further improved by coupling it with accurate real-time multibody modelling. An example, that allows to reduce the important impact of joints damping on the payload estimation method, is developed and validated in this paper. A reduction of the payload estimation moving window root mean square error from 12.8% to 2.9% is obtained. Finally, the tractor multibody digital-twin is integrated in a real-time system on a physical setup, allowing to process the signals of the tractor and provide an easy to interpret visualization of the vehicle stability to the operator.

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MLA
Tuerlinckx, Théo, et al. “Real-Time Digital Twin for Construction Vehicle Stability Assessment and Visualization with Improved Front-Loader Payload Estimation.” Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS - Volume 1, vol. 1, 2025, pp. 266–77.
APA
Tuerlinckx, T., Weckx, S., Robyns, S., & De Kooning, J. (2025). Real-Time Digital Twin for Construction Vehicle Stability Assessment and Visualization with Improved Front-Loader Payload Estimation. Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS - Volume 1, 1, 266–277. Porto, Portugal.
Chicago author-date
Tuerlinckx, Théo, Sam Weckx, Steven Robyns, and Jeroen De Kooning. 2025. “Real-Time Digital Twin for Construction Vehicle Stability Assessment and Visualization with Improved Front-Loader Payload Estimation.” In Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS - Volume 1, 1:266–77. Porto, Portugal.
Chicago author-date (all authors)
Tuerlinckx, Théo, Sam Weckx, Steven Robyns, and Jeroen De Kooning. 2025. “Real-Time Digital Twin for Construction Vehicle Stability Assessment and Visualization with Improved Front-Loader Payload Estimation.” In Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS - Volume 1, 1:266–277. Porto, Portugal.
Vancouver
1.
Tuerlinckx T, Weckx S, Robyns S, De Kooning J. Real-Time Digital Twin for Construction Vehicle Stability Assessment and Visualization with Improved Front-Loader Payload Estimation. In: Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS - Volume 1. Porto, Portugal; 2025. p. 266–77.
IEEE
[1]
T. Tuerlinckx, S. Weckx, S. Robyns, and J. De Kooning, “Real-Time Digital Twin for Construction Vehicle Stability Assessment and Visualization with Improved Front-Loader Payload Estimation,” in Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS - Volume 1, Porto, Portugal, 2025, vol. 1, pp. 266–277.
@inproceedings{01JSEWGVEDJCEWR9VBMEVJRWW6,
  abstract     = {{The stability assessment of construction vehicles, which are part of a constantly growing market, is of a high
importance for safety and working efficiency. For such vehicles, the stability is mainly impacted by the carried
payload. In this paper, a state of the art payload estimation method, based on simplified motion equations, is
further improved by coupling it with accurate real-time multibody modelling. An example, that allows to
reduce the important impact of joints damping on the payload estimation method, is developed and validated
in this paper. A reduction of the payload estimation moving window root mean square error from 12.8% to
2.9% is obtained. Finally, the tractor multibody digital-twin is integrated in a real-time system on a physical
setup, allowing to process the signals of the tractor and provide an easy to interpret visualization of the vehicle
stability to the operator.}},
  author       = {{Tuerlinckx, Théo and Weckx, Sam and Robyns, Steven and De Kooning, Jeroen}},
  booktitle    = {{Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS - Volume 1}},
  language     = {{eng}},
  location     = {{Porto, Portugal}},
  pages        = {{266--277}},
  title        = {{Real-Time Digital Twin for Construction Vehicle Stability Assessment and Visualization with Improved Front-Loader Payload Estimation}},
  volume       = {{1}},
  year         = {{2025}},
}