1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Physics-informed deep operator network for traffic state estimation
Zhihao Li, Ting Wang, Guojian Zou +2
Traffic state estimation (TSE) fundamentally involves solving high-dimensional spatiotemporal partial differential equations (PDEs) governing traffic flow dynamics from limited, no…
cs.LG2024★ 1 cited
Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach
Ting Wang, Ye Li, Rongjun Cheng +3
Physics-informed deep learning (PIDL)-based models have recently garnered remarkable success in traffic state estimation (TSE). However, the prior knowledge used to guide regulariz…