ResearchTrend.AI
  • Papers
  • Communities
  • Organizations
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.02906
  4. Cited By
Incorporating Kinematic Wave Theory into a Deep Learning Method for
  High-Resolution Traffic Speed Estimation
v1v2 (latest)

Incorporating Kinematic Wave Theory into a Deep Learning Method for High-Resolution Traffic Speed Estimation

4 February 2021
Bilal Thonnam Thodi
Z. Khan
Saif Eddin Jabari
M. Menéndez
ArXiv (abs)PDFHTML

Papers citing "Incorporating Kinematic Wave Theory into a Deep Learning Method for High-Resolution Traffic Speed Estimation"

12 / 12 papers shown
Title
Machine Unlearning of Traffic State Estimation and Prediction
Machine Unlearning of Traffic State Estimation and Prediction
Xin Wang
R. Tyrrell Rockafellar
Xuegang
MU
17
0
0
23 Jul 2025
Efficient and Robust Freeway Traffic Speed Estimation under Oblique Grid
  using Vehicle Trajectory Data
Efficient and Robust Freeway Traffic Speed Estimation under Oblique Grid using Vehicle Trajectory Data
Yang He
Chengchuan An
Yuheng Jia
Jiachao Liu
Zhenbo Lu
Jingxin Xia
51
0
0
06 Nov 2024
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
Saif Eddin Jabari
AI4CE
98
13
0
14 Aug 2023
Newell's theory based feature transformations for spatio-temporal
  traffic prediction
Newell's theory based feature transformations for spatio-temporal traffic prediction
Agnimitra Sengupta
S. I. Guler
OODAI4TS
67
0
0
12 Jul 2023
Inverting the Fundamental Diagram and Forecasting Boundary Conditions:
  How Machine Learning Can Improve Macroscopic Models for Traffic Flow
Inverting the Fundamental Diagram and Forecasting Boundary Conditions: How Machine Learning Can Improve Macroscopic Models for Traffic Flow
Maya Briani
E. Cristiani
Elia Onofri
113
2
0
21 Mar 2023
Traffic State Estimation from Vehicle Trajectories with Anisotropic
  Gaussian Processes
Traffic State Estimation from Vehicle Trajectories with Anisotropic Gaussian Processes
Fan Wu
Zhanhong Cheng
Huiyu Chen
T. Qiu
Lijun Sun
78
6
0
04 Mar 2023
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
Xuan Di
Rongye Shi
Zhaobin Mo
Yongjie Fu
PINNAI4TSAI4CE
111
29
0
03 Mar 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
Saif Eddin Jabari
82
3
0
09 Jan 2023
Physics-informed Machine Learning of Parameterized Fundamental Diagrams
Physics-informed Machine Learning of Parameterized Fundamental Diagrams
J.R.L. Koch
Thomas Maxner
Vinay C. Amatya
A. Ranjbari
Chase P. Dowling
AI4CEPINN
61
2
0
01 Aug 2022
Low-Rank Hankel Tensor Completion for Traffic Speed Estimation
Low-Rank Hankel Tensor Completion for Traffic Speed Estimation
Xudong Wang
Yuankai Wu
Dingyi Zhuang
Lijun Sun
96
41
0
21 May 2021
Estimating Traffic Speeds using Probe Data: A Deep Neural Network
  Approach
Estimating Traffic Speeds using Probe Data: A Deep Neural Network Approach
Felix Rempe
P. Franeck
Klaus Bogenberger
3DV
67
2
0
19 Apr 2021
Nonlinear Traffic Prediction as a Matrix Completion Problem with
  Ensemble Learning
Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning
Wenqing Li
Chuhan Yang
Saif Eddin Jabari
87
20
0
08 Jan 2020
1