Digital Twins for Roads: Gamification of pavement maintenance decision making

To investigate the combination of physics and machine learning modelling for pavement performance prediction within a digital twin concept.

PhD Candidate:

Kun Chen

Chen, K., Torbaghan, M. E., Chu, M., Zhang, L., & Garcia, A. (2022). Identifying the most suitable machine learning approach for a road digital twin. Proceedings of the Institution of Civil Engineers-Smart Infrastructure and Construction, 174(3), 88–101. https://doi.org/10.1680/jsmic.22.00003
Chen, K., Torbaghan, M. E., Thom, N., Garcia-Hernández, A., Faramarzi, A., & Chapman, D. (2024). A Machine Learning based approach to predict road rutting considering uncertainty. Case Studies in Construction Materials, e03186. https://doi.org/10.1016/J.CSCM.2024.E03186