122 citations · 126 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
A Hybrid Physics Machine Learning Approach for Macroscopic Traffic State Estimation
Zhao Zhang, Ding Zhao, Xianfeng Terry Yang
Full-field traffic state information (i.e., flow, speed, and density) is critical for the successful operation of Intelligent Transportation Systems (ITS) on freeways. However, inc…
stat.ML2020★ 2 cited
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: Generalized Formulations
Yun Yuan, Zhao Zhang, Xianfeng Terry Yang
Despite the success of classical traffic flow (e.g., second-order macroscopic) models and data-driven (e.g., Machine Learning - ML) approaches in traffic state estimation, those ap…
stat.ML2020★ 122 cited
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications
Yun Yuan, Xianfeng Terry Yang, Zhao Zhang +1
Despite the wide implementation of machine learning (ML) techniques in traffic flow modeling recently, those data-driven approaches often fall short of accuracy in the cases with a…