Paper WeAT10.6
Li, ZhiHao (Key Laboratory of Road and Traffic Engineering, Ministry of Educ), Li, Ye (key laboratory of road and traffic engineering, ministry of educ), Gruyer, Dominique (Université Gustave Eiffel), TU, Meiting (Tongji University)
IWP-PIDL: Interpretable-Weight-Parameters Physics-Informed Deep Learning Model for Traffic State Estimation Based on Vehicle Trajectory
Scheduled for presentation during the Invited Session "Cooperative Driving Technology for Connected Automated Vehicles" (WeAT10), Wednesday, September 25, 2024,
12:10−12:30, Salon 18
2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada
This information is tentative and subject to change. Compiled on December 26, 2024
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