Physics-informed neural networks (pinns)-based traffic state estimation: an application to traffic network

HIGHLIGHTS

• who: Muhammad Usama and colleagues from the Department of Civil and Environmental Engineering, The University of Alabama in Huntsville, Huntsville, AL, USA have published the research work: Physics-Informed Neural Networks (PINNs)-Based Traffic State Estimation: An Application to Traffic Network, in the Journal: Algorithms 2022, 15, 447. of /2022/
• what: This study seeks to fuse traffic flow models and ML techniques in a traffic network setting with the physics-informed neural_networks for network TSE. Third, this study shows a single sparse data source is sufficient for training PINNs, even in the absence of the . . .
  

   

  

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