SHI, Rongye; MO, Zhaobin; DI, Xuan. Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models. Proceedings of the AAAI Conference on Artificial Intelligence, [S. l.], v. 35, n. 1, p. 540–547, 2021. DOI: 10.1609/aaai.v35i1.16132. Disponível em: https://ojs.aaai.org/index.php/AAAI/article/view/16132. Acesso em: 25 may. 2026.