research
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08/14/2023
Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems
Deep learning methods are emerging as popular computational tools for so...
research
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02/16/2023
Learning-based solutions to nonlinear hyperbolic PDEs: Empirical insights on generalization errors
We study learning weak solutions to nonlinear hyperbolic partial differe...
research
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05/04/2021
Learning Traffic Speed Dynamics from Visualizations
Space-time visualizations of macroscopic or microscopic traffic variable...
research
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02/04/2021