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2012.13376
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A Physics-Informed Deep Learning Paradigm for Car-Following Models
24 December 2020
Chengbo Zang
Xuan Di
Rongye Shi
PINN
AI4CE
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Papers citing
"A Physics-Informed Deep Learning Paradigm for Car-Following Models"
26 / 26 papers shown
A phase-aware AI car-following model for electric vehicles with adaptive cruise control: Development and validation using real-world data
Yuhui Liu
Shian Wang
Ansel Panicker
Kate Embry
Ayana Asanova
Tianyi Li
92
0
0
30 Sep 2025
Learn2Drive: A neural network-based framework for socially compliant automated vehicle control
Yuhui Liu
Samannita Halder
Shian Wang
Tianyi Li
103
0
0
30 Sep 2025
Theory Foundation of Physics-Enhanced Residual Learning
Shixiao Liang
Wang Chen
Keke Long
Peng Zhang
Xiaopeng Li
Jintao Ke
AI4CE
203
1
0
30 Aug 2025
Markov Regime-Switching Intelligent Driver Model for Interpretable Car-Following Behavior
Chengyuan Zhang
Cathy Wu
Lijun Sun
180
3
0
17 Jun 2025
Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis
Yuan-Zheng Lei
Yaobang Gong
Dianwei Chen
Yao Cheng
Xianfeng Terry Yang
AI4CE
312
1
0
16 May 2025
A Knowledge-Informed Deep Learning Paradigm for Generalizable and Stability-Optimized Car-Following Models
Communications in Transportation Research (CTR), 2025
C. Wang
Dongyao Jia
Wei Wang
Dong Ngoduy
Bei Peng
Jianping Wang
397
1
0
19 Apr 2025
AI-Powered CPS-Enabled Vulnerable-User-Aware Urban Transportation Digital Twin: Methods and Applications
Xuan Di
Yongjie Fu
Mahshid Ghasemi
Mahshid Ghasemi
Chengbo Zang
Chengbo Zang
Abhishek Adhikari
Gil Zussman
Xuan Di
AI4CE
507
0
0
30 Dec 2024
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control
Communications in Transportation Research (CTR), 2024
Zihao Sheng
Zilin Huang
Sikai Chen
293
19
0
30 Aug 2024
Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control
Sicong Jiang
Seongjin Choi
Lijun Sun
288
2
0
12 Jul 2024
PITA: Physics-Informed Trajectory Autoencoder
Johannes Fischer
Kevin Rösch
Martin Lauer
Christoph Stiller
289
1
0
18 Mar 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
258
50
0
02 Mar 2024
RACER: Rational Artificial Intelligence Car-following-model Enhanced by Reality
Tianyi Li
Alexander Halatsis
Raphael E. Stern
298
4
0
12 Dec 2023
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
IEEE International Conference on Data Engineering (ICDE), 2023
Yusheng Zhao
Xiao Luo
Wei Ju
C. L. Philip Chen
Xiansheng Hua
Ming Zhang
AI4TS
240
59
0
21 Sep 2023
Perimeter Control with Heterogeneous Metering Rates for Cordon Signals: A Physics-Regularized Multi-Agent Reinforcement Learning Approach
Transportation Research Part C: Emerging Technologies (TRC), 2023
Jiajie Yu
Pierre-Antoine Laharotte
Yugang Han
Wei Ma
L. Leclercq
251
14
0
24 Aug 2023
Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems
Transportation Research Part C: Emerging Technologies (TRC), 2023
Bilal Thonnam Thodi
Sai Venkata Ramana Ambadipudi
Saif Eddin Jabari
AI4CE
405
19
0
14 Aug 2023
Car-Following Models: A Multidisciplinary Review
IEEE Transactions on Intelligent Vehicles (TIV), 2023
T. Zhang
Ph.D.
Peter J. Jin
Ph.D.
Sean T. McQuade
Ph.D.
Alexandre M. Bayen
Ph.D.
B. Piccoli
544
43
0
14 Apr 2023
Inverting the Fundamental Diagram and Forecasting Boundary Conditions: How Machine Learning Can Improve Macroscopic Models for Traffic Flow
Advances in Computational Mathematics (Adv. Comput. Math.), 2023
Maya Briani
E. Cristiani
Elia Onofri
315
7
0
21 Mar 2023
On the Limitations of Physics-informed Deep Learning: Illustrations Using First Order Hyperbolic Conservation Law-based Traffic Flow Models
IEEE Open Journal of Intelligent Transportation Systems (JOITS), 2023
Archie J. Huang
S. Agarwal
AI4CE
PINN
323
37
0
23 Feb 2023
IDM-Follower: A Model-Informed Deep Learning Method for Long-Sequence Car-Following Trajectory Prediction
Yilin Wang
Yiheng Feng
285
6
0
20 Oct 2022
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
AAAI Conference on Artificial Intelligence (AAAI), 2022
Jiahao Ji
Jingyuan Wang
Zhe Jiang
Jiawei Jiang
Hu Zhang
DiffM
PINN
OOD
AI4CE
357
112
0
01 Sep 2022
Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks
Chengbo Zang
Yongjie Fu
Xuan Di
347
15
0
19 Jun 2022
A Generative Car-following Model Conditioned On Driving Styles
Yifan Zhang
Xinhong Chen
Jianping Wang
Zuduo Zheng
Kui Wu
269
61
0
10 Dec 2021
A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation
Rongye Shi
Chengbo Zang
Kuang Huang
Xuan Di
Qi Du
PINN
289
123
0
06 Jun 2021
Applications of deep learning in traffic congestion detection, prediction and alleviation: A survey
Transportation Research Part C: Emerging Technologies (TRC), 2021
Nishant Kumar
Martin Raubal
AI4TS
AI4CE
376
108
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
Transportation Research Part C: Emerging Technologies (Transp. Res. Part C), 2020
Xuan Di
Rongye Shi
368
212
0
10 Jul 2020
An LSTM-Based Autonomous Driving Model Using Waymo Open Dataset
Applied Sciences (Appl. Sci.), 2020
Zhicheng Li
Zhihao Li
Xuan Di
Rongye Shi
219
47
0
14 Feb 2020
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