Identifying the most suitable machine learning approach for a road digital twin

To explore the potential of machine learning algorithms within a road digital twin framework to model road deterioration and to predict road condition in the future

Funder

UK Collaboratorium for Research on Infrastructure and Cities (UKCRIC)

Partner(s)

University of Birmingham

University of Manchester

University of Nottingham

Publications

Identifying the most suitable machine learning approach for a road digital twin. K Chen, M Eskandari Torbaghan, M Chu, L Zhang, A Garcia-Hernández. Proceedings of the Institution of Civil Engineers-Smart Infrastructure and Construction. 174(3)

https://doi.org/10.1680/jsmic.22.00003