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Modeling Stochastic Microscopic Traffic Behaviors: a Physics Regularized
  Gaussian Process Approach

Modeling Stochastic Microscopic Traffic Behaviors: a Physics Regularized Gaussian Process Approach

17 July 2020
Yun Yuan
Qinzheng Wang
X. Yang
ArXivPDFHTML

Papers citing "Modeling Stochastic Microscopic Traffic Behaviors: a Physics Regularized Gaussian Process Approach"

3 / 3 papers shown
Title
Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis
Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis
Yuan-Zheng Lei
Yaobang Gong
Dianwei Chen
Yao Cheng
Xianfeng Terry Yang
AI4CE
24
1
0
16 May 2025
A Physics-Informed Deep Learning Paradigm for Car-Following Models
A Physics-Informed Deep Learning Paradigm for Car-Following Models
Zhaobin Mo
Xuan Di
Rongye Shi
PINN
AI4CE
30
132
0
24 Dec 2020
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian
  Process: A New Insight into Machine Learning Applications
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications
Yun Yuan
X. Yang
Zhao Zhang
Shandian Zhe
AI4CE
39
96
0
06 Feb 2020
1