ORCID
- Caitriona de Paor: 0000-0002-9619-5134
Abstract
The Horizon Europe Project, ReNEW, uses the digital twin concept to simulate and model the complexity and interdependencies of the Inland Waterway Transport (IWT) system. This concept is used to design novel strategies to ensure network functionality despite climate change impacts on IWT. A digital twin is an accurate copy of a real object/item/system with associated characteristics in the digital world. Digital twin models can be developed using physics or statistics or combining the two. They can be used for simulation, classification, prediction, optimization, and more. This work proposes probabilistic digital twin modelling of complex IWT networks using Bayesian networks. Bayesian networks are statistical models that can address the complexity and uncertainty of the physical world. The availability of new data/information facilitates model updates, resulting in more accurate estimates.
Keywords
Bayesian Networks, Digital Twins, Inland Waterways Transport, ReNEW, Resilience
DOI Link
Publication Date
2026-01-01
Publication Title
Lecture Notes in Mobility
Publisher
Springer
ISSN
2196-5544
First Page
874
Last Page
879
Deposit Date
2026-01-22
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Additional Links
Recommended Citation
Micu, Alexandra; Connolly, Lorcan; O’Connor, Alan; O’Brien, Eugene; and de Paor, Caitriona, "Modelling Probabilistic Digital Twins of Complex Inland Waterway Transportation Systems Using Bayesian Networks" (2026). Research Outputs: 2025-Present. 7.
https://arrow.tudublin.ie/stcero/7