Serviceability evaluation of highway tunnels based on data mining and machine learning: A case study of continental United States
Published in Tunneling and Underground Space Technology, 2023
This paper presents a data mining and machine learning approach for evaluating the serviceability of highway tunnels, using the continental United States as a case study.
Recommended citation: Ya-Dong Xue, Wei Zhang, Yi-Lin Wang*, et al. (2023). "Serviceability evaluation of highway tunnels based on data mining and machine learning: A case study of continental United States." Tunneling and Underground Space Technology, Volume 142, 105418.
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