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Physics-Informed Deep Learning For Traffic State Estimation: A Survey
  and the Outlook

Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook

3 March 2023
Xuan Di
Rongye Shi
Zhaobin Mo
Yongjie Fu
    PINN
    AI4TS
    AI4CE
ArXivPDFHTML

Papers citing "Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook"

11 / 11 papers shown
Title
Probabilistic Machine Learning for Noisy Labels in Earth Observation
Probabilistic Machine Learning for Noisy Labels in Earth Observation
Spyros Kondylatos
N. Bountos
Ioannis Prapas
Angelos Zavras
Gustau Camps-Valls
Ioannis Papoutsis
NoLa
52
0
0
04 Apr 2025
AI-Powered Urban Transportation Digital Twin: Methods and Applications
AI-Powered Urban Transportation Digital Twin: Methods and Applications
Xuan Di
Yongjie Fu
Mehmet K.Turkcan
Mahshid Ghasemi
Zhaobin Mo
Chengbo Zang
Abhishek Adhikari
Z. Kostić
Gil Zussman
AI4CE
36
0
0
30 Dec 2024
Scalable Learning of Segment-Level Traffic Congestion Functions
Scalable Learning of Segment-Level Traffic Congestion Functions
Shushman Choudhury
Abdul Rahman Kreidieh
Iveel Tsogsuren
Neha Arora
Carolina Osorio
Alexandre M. Bayen
25
0
0
09 May 2024
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical
  Federated Learning Approach
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach
Qiqing Wang
Kaidi Yang
FedML
34
8
0
22 Jan 2024
Incorporating Nonlocal Traffic Flow Model in Physics-informed Neural
  Networks
Incorporating Nonlocal Traffic Flow Model in Physics-informed Neural Networks
Archie J. Huang
A. Biswas
S. Agarwal
17
3
0
22 Aug 2023
Fourier neural operator for learning solutions to macroscopic traffic
  flow models: Application to the forward and inverse problems
Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems
Bilal Thonnam Thodi
Sai Venkata Ramana Ambadipudi
S. Jabari
AI4CE
27
13
0
14 Aug 2023
Physics-informed Machine Learning for Calibrating Macroscopic Traffic
  Flow Models
Physics-informed Machine Learning for Calibrating Macroscopic Traffic Flow Models
Yu Tang
Li Jin
K. Ozbay
AI4CE
18
1
0
12 Jul 2023
Generalized adaptive smoothing based neural network architecture for
  traffic state estimation
Generalized adaptive smoothing based neural network architecture for traffic state estimation
Chuhan Yang
Sai Venkata Ramana Ambadipudi
S. Jabari
11
3
0
09 Jan 2023
Meta-learning PINN loss functions
Meta-learning PINN loss functions
Apostolos F. Psaros
Kenji Kawaguchi
George Karniadakis
PINN
43
97
0
12 Jul 2021
A Nonconvex Low-Rank Tensor Completion Model for Spatiotemporal Traffic
  Data Imputation
A Nonconvex Low-Rank Tensor Completion Model for Spatiotemporal Traffic Data Imputation
Xinyu Chen
Jin-Ming Yang
Lijun Sun
AI4TS
34
135
0
23 Mar 2020
An Energy Approach to the Solution of Partial Differential Equations in
  Computational Mechanics via Machine Learning: Concepts, Implementation and
  Applications
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications
E. Samaniego
C. Anitescu
S. Goswami
Vien Minh Nguyen-Thanh
Hongwei Guo
Khader M. Hamdia
Timon Rabczuk
X. Zhuang
PINN
AI4CE
156
1,339
0
27 Aug 2019
1