A Physics-Informed Deep Learning Paradigm for Car-Following Models

24 December 2020

Papers citing "A Physics-Informed Deep Learning Paradigm for Car-Following Models"

28 / 28 papers shown

Title
A Knowledge-Informed Deep Learning Paradigm for Generalizable and Stability-Optimized Car-Following Models C. Wang Dongyao Jia Wei Wang Dong Ngoduy Bei Peng Jianping Wang 19 0 0 19 Apr 2025
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 31 0 0 30 Dec 2024
GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems Haowen Xu Jinghui Yuan Anye Zhou Guanhao Xu Wan Li Xuegang Ban Xinyue Ye 21 8 0 31 Aug 2024
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control Zihao Sheng Zilin Huang Sikai Chen 31 8 0 30 Aug 2024
Improving the Intelligent Driver Model by Incorporating Vehicle Dynamics: Microscopic Calibration and Macroscopic Validation Dominik Salles Steve Oswald H. Reuss 15 0 0 07 Aug 2024
Discovering Car-following Dynamics from Trajectory Data through Deep Learning Ohay Angah James Enouen Xuegang (Jeff) Ban Ban Yan Liu 27 0 0 01 Aug 2024
Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control Sicong Jiang Seongjin Choi Lijun Sun 32 1 0 12 Jul 2024
MetaFollower: Adaptable Personalized Autonomous Car Following Xianda Chen Kehua Chen Meixin Zhu Hao Yang Shaojie Shen Xuesong Wang Yinhai Wang 22 3 0 23 Jun 2024
EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems Xianda Chen Xu Han Meixin Zhu Xiaowen Chu PakHin Tiu Xinhu Zheng Yinhai Wang 30 4 0 23 Jun 2024
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting Wei Ju Yusheng Zhao Yifang Qin Siyu Yi Jingyang Yuan Zhiping Xiao Xiao Luo Xiting Yan Ming Zhang 26 23 0 02 Mar 2024
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach Qiqing Wang Kaidi Yang FedML 29 8 0 22 Jan 2024
RACER: Rational Artificial Intelligence Car-following-model Enhanced by Reality Tianyi Li Alexander Halatsis Raphael E. Stern 11 2 0 12 Dec 2023
A Physics Enhanced Residual Learning (PERL) Framework for Vehicle Trajectory Prediction Keke Long Zihao Sheng Haotian Shi Xiaopeng Li Sikai Chen Sue Ahn 21 5 0 26 Sep 2023
TrTr: A Versatile Pre-Trained Large Traffic Model based on Transformer for Capturing Trajectory Diversity in Vehicle Population Ruyi Feng Zhibin Li Bowen Liu Yan Ding 13 2 0 22 Sep 2023
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting Yusheng Zhao Xiao Luo Wei Ju C. L. Philip Chen Xiansheng Hua Ming Zhang AI4TS 23 26 0 21 Sep 2023
Perimeter Control with Heterogeneous Metering Rates for Cordon Signals: A Physics-Regularized Multi-Agent Reinforcement Learning Approach Jiajie Yu Pierre-Antoine Laharotte Yugang Han Wei Ma L. Leclercq 11 3 0 24 Aug 2023
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 25 13 0 14 Aug 2023
Car-Following Models: A Multidisciplinary Review T. Zhang Ph.D. Peter J. Jin Ph.D. Sean T. McQuade Ph.D. Alexandre M. Bayen Ph.D. B. Piccoli 27 3 0 14 Apr 2023
Inverting the Fundamental Diagram and Forecasting Boundary Conditions: How Machine Learning Can Improve Macroscopic Models for Traffic Flow Maya Briani E. Cristiani Elia Onofri 26 2 0 21 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 24 28 0 03 Mar 2023
On the Limitations of Physics-informed Deep Learning: Illustrations Using First Order Hyperbolic Conservation Law-based Traffic Flow Models Archie J. Huang S. Agarwal AI4CE PINN 11 24 0 23 Feb 2023
IDM-Follower: A Model-Informed Deep Learning Method for Long-Sequence Car-Following Trajectory Prediction Yilin Wang Yiheng Feng 30 5 0 20 Oct 2022
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction Jiahao Ji Jingyuan Wang Zhe Jiang Jiawei Jiang Hu Zhang DiffM PINN OOD AI4CE 12 77 0 01 Sep 2022
Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks Zhaobin Mo Yongjie Fu Xuan Di 11 11 0 19 Jun 2022
A Generative Car-following Model Conditioned On Driving Styles Yifan Zhang Xinhong Chen Jianping Wang Zuduo Zheng Kui Wu 16 37 0 10 Dec 2021
A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation Rongye Shi Zhaobin Mo Kuang Huang Xuan Di Qi Du PINN 17 85 0 06 Jun 2021
Applications of deep learning in traffic congestion detection, prediction and alleviation: A survey Nishant Kumar Martin Raubal AI4TS AI4CE 17 88 0 19 Feb 2021
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning Xuan Di Rongye Shi 21 173 0 10 Jul 2020