Rongye Shi

Abstract Comprehending the complex interplay among urban mobility, human behavior, and the COVID-19 pandemic could deliver vital perspectives to steer forthcoming public health endeavors. In late 2022, China lifted its "Zero-COVID" policy and rapidly abandoned nearly all interventions. It provides a unique opportunity to observe spontaneous mobility changes without government restriction throughout such a pandemic with high infection.

This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by 1,2,*, 1,†, 1,† and 1 1 Department of Civil Engineering and Engineering Mechanics, Columbia University, New York, NY 10027, USA 2 Data Science Institute, Columbia University, New York, NY 10027, USA * Author to whom correspondence should be addressed. † These authors contributed equally to this work.

[Submitted on 3 Mar 2023 ( v1 ), last revised 1 Jul 2023 (this version, v2)] Title:Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook Download a PDF of the paper titled Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook, by Xuan Di and 3 other authors Download PDF Abstract: For its robust predictive power (compared to pure physics-based models) and sample-efficient training (compared to pure deep learning models),...