Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems

14 August 2023

Papers citing "Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems"

7 / 7 papers shown

Title
Neural operators struggle to learn complex PDEs in pedestrian mobility: Hughes model case study Prajwal Chauhan Salah Eddine Choutri Mohamed Ghattassi Nader Masmoudi Saif Eddin Jabari 39 0 0 25 Apr 2025
Closed-Loop Neural Operator-Based Observer of Traffic Density Alice Harting Karl H. Johansson Matthieu Barreau 35 0 0 07 Apr 2025
Generic bounds on the approximation error for physics-informed (and) operator learning Tim De Ryck Siddhartha Mishra PINN 59 59 0 23 May 2022
Short-term traffic prediction using physics-aware neural networks M. Pereira Annika Lang Balázs Kulcsár 26 19 0 21 Sep 2021
Learning Traffic Speed Dynamics from Visualizations Bilal Thonnam Thodi Z. Khan S. Jabari M. Menéndez 24 7 0 04 May 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,272 0 18 Oct 2020
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 16 94 0 06 Feb 2020