Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook

Xuan Di, Rongye Shi, Zhaobin Mo +1

For its robust predictive power (compared to pure physics-based models) and sample-efficient training (compared to pure deep learning models), physics-informed deep learning (PIDL)…