A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation

Abstract

This preprint is originally revised and extended from its previous version (https://arxiv.org/abs/2101.06580v1), so there may exist some overlaps. However, due to significant differences, both are kept separately on ArXiv. It is recommended to read and make use of these two preprints complementarily.