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

4 February 2021

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

7 / 7 papers shown

Title
Inverting the Fundamental Diagram and Forecasting Boundary Conditions: How Machine Learning Can Improve Macroscopic Models for Traffic Flow Maya Briani E. Cristiani Elia Onofri 49 2 0 21 Mar 2023
Traffic State Estimation from Vehicle Trajectories with Anisotropic Gaussian Processes Fan Wu Zhanhong Cheng Huiyu Chen T. Qiu Lijun Sun 32 3 0 04 Mar 2023
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook Xuan Di Rongye Shi Zhaobin Mo Yongjie Fu PINN AI4TS AI4CE 37 28 0 03 Mar 2023
Physics-informed Machine Learning of Parameterized Fundamental Diagrams J.R.L. Koch Thomas Maxner Vinay C. Amatya A. Ranjbari Chase P. Dowling AI4CE PINN 26 2 0 01 Aug 2022
Estimating Traffic Speeds using Probe Data: A Deep Neural Network Approach Felix Rempe P. Franeck Klaus Bogenberger 3DV 31 2 0 19 Apr 2021
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 39 97 0 06 Feb 2020
Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning Wenqing Li Chuhan Yang Saif Eddin Jabari 46 19 0 08 Jan 2020