Wenyuan Cai received a B.S. degree in civil engineering from Beihang University, Beijing, China, in 2018 and an M.S. degree in transportation engineering from University of Illinois at Urbana-Champaign, IL, U.S., in 2019. She is currently pursuing the Ph.D. degree with the Key
Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University.
Her research interests include road infrastructure management, intelligent
infrastructure system, and AI techniques in transportation.
Publication :
[1] Cai, W., Song, A., Du, Y., Liu, C., Wu, D., & Li, F. (2023). Fine-Grained Pavement Performance
Prediction Based on Causal-Temporal Graph Convolution Networks. IEEE Transactions on Intelligent Transportation
Systems. [2] CAl W., Llu C. , Wu D., GAO Z., Du Y.(2024)Standards Graph System of Road Infrastructure Maintenance and Management. Journal of Tongji University(Natural Science).
presentation 2024-A0049

Pavement maintenance decision-making , reinforcement learning from expert feedback , fine-grained reward model , data-knowledge driven