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Human-Like Autonomous Car-Following Model with Deep Reinforcement
  Learning

Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning

3 January 2019
Meixin Zhu
X. Wang
Yinhai Wang
ArXivPDFHTML

Papers citing "Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning"

50 / 61 papers shown
Title
Cross-cultural Deployment of Autonomous Vehicles Using Data-light Inverse Reinforcement Learning
Cross-cultural Deployment of Autonomous Vehicles Using Data-light Inverse Reinforcement Learning
Hongliang Lu
Shuqi Shen
Junjie Yang
Chao Lu
Xinhu Zheng
Hai Yang
37
0
0
15 Apr 2025
Vision-Integrated LLMs for Autonomous Driving Assistance : Human Performance Comparison and Trust Evaluation
Vision-Integrated LLMs for Autonomous Driving Assistance : Human Performance Comparison and Trust Evaluation
Namhee Kim
Woojin Park
56
0
0
06 Feb 2025
From Words to Wheels: Automated Style-Customized Policy Generation for
  Autonomous Driving
From Words to Wheels: Automated Style-Customized Policy Generation for Autonomous Driving
Xu Han
Xianda Chen
Zhenghan Cai
Pinlong Cai
Meixin Zhu
Xiaowen Chu
50
1
0
18 Sep 2024
Improving the Intelligent Driver Model by Incorporating Vehicle
  Dynamics: Microscopic Calibration and Macroscopic Validation
Improving the Intelligent Driver Model by Incorporating Vehicle Dynamics: Microscopic Calibration and Macroscopic Validation
Dominik Salles
Steve Oswald
H. Reuss
20
0
0
07 Aug 2024
EcoFollower: An Environment-Friendly Car Following Model Considering
  Fuel Consumption
EcoFollower: An Environment-Friendly Car Following Model Considering Fuel Consumption
Hui Zhong
Xianda Chen
PakHin Tiu
Hongliang Lu
Meixin Zhu
32
1
0
22 Jul 2024
Continual Learning for Adaptable Car-Following in Dynamic Traffic
  Environments
Continual Learning for Adaptable Car-Following in Dynamic Traffic Environments
Xianda Chen
PakHin Tiu
Xu Han
Junjie Chen
Yuanfei Wu
Xinhu Zheng
Meixin Zhu
48
0
0
17 Jul 2024
Communication-Aware Reinforcement Learning for Cooperative Adaptive
  Cruise Control
Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control
Sicong Jiang
Seongjin Choi
Lijun Sun
61
1
0
12 Jul 2024
Real-time system optimal traffic routing under uncertainties -- Can
  physics models boost reinforcement learning?
Real-time system optimal traffic routing under uncertainties -- Can physics models boost reinforcement learning?
Zemian Ke
Qiling Zou
Jiachao Liu
Sean Qian
AI4CE
24
6
0
10 Jul 2024
GenFollower: Enhancing Car-Following Prediction with Large Language
  Models
GenFollower: Enhancing Car-Following Prediction with Large Language Models
Xianda Chen
Mingxing Peng
PakHin Tiu
Yuanfei Wu
Junjie Chen
Meixin Zhu
Xinhu Zheng
54
6
0
08 Jul 2024
Adaptive Autopilot: Constrained DRL for Diverse Driving Behaviors
Adaptive Autopilot: Constrained DRL for Diverse Driving Behaviors
D. Selvaraj
Christian Vitale
T. Panayiotou
P. Kolios
Carla-Fabiana Chiasserini
Georgios Ellinas
22
1
0
02 Jul 2024
MetaFollower: Adaptable Personalized Autonomous Car Following
MetaFollower: Adaptable Personalized Autonomous Car Following
Xianda Chen
Kehua Chen
Meixin Zhu
Hao
Yang
Shaojie Shen
Xuesong Wang
Yinhai Wang
44
3
0
23 Jun 2024
EditFollower: Tunable Car Following Models for Customizable Adaptive
  Cruise Control Systems
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
38
4
0
23 Jun 2024
Generating and Evolving Reward Functions for Highway Driving with Large
  Language Models
Generating and Evolving Reward Functions for Highway Driving with Large Language Models
Xu Han
Qiannan Yang
Xianda Chen
Xiaowen Chu
Meixin Zhu
63
4
0
15 Jun 2024
A Unified Longitudinal Trajectory Dataset for Automated Vehicle
A Unified Longitudinal Trajectory Dataset for Automated Vehicle
Hang Zhou
Ke Ma
Shixiao Liang
Xiaopeng Li
Xiaobo Qu
69
7
0
16 May 2024
Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture
  Regression
Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression
Chengyuan Zhang
Kehua Chen
Meixin Zhu
Hai Yang
Lijun Sun
49
1
0
24 Apr 2024
A Review of Reward Functions for Reinforcement Learning in the context
  of Autonomous Driving
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
Ahmed Abouelazm
Jonas Michel
J. M. Zöllner
44
6
0
12 Apr 2024
CARL: Congestion-Aware Reinforcement Learning for Imitation-based
  Perturbations in Mixed Traffic Control
CARL: Congestion-Aware Reinforcement Learning for Imitation-based Perturbations in Mixed Traffic Control
Bibek Poudel
Weizi Li
Shuai Li
47
8
0
31 Mar 2024
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous
  Vehicle Decision-Making
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making
Hanxi Wan
Pei Li
Arpan Kusari
AI4CE
40
0
0
18 Mar 2024
Risk-anticipatory autonomous driving strategies considering vehicles'
  weights, based on hierarchical deep reinforcement learning
Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning
Di Chen
Hao Li
Zhicheng Jin
H. Tu
Meixin Zhu
29
3
0
27 Dec 2023
RACER: Rational Artificial Intelligence Car-following-model Enhanced by
  Reality
RACER: Rational Artificial Intelligence Car-following-model Enhanced by Reality
Tianyi Li
Alexander Halatsis
Raphael E. Stern
21
2
0
12 Dec 2023
EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic
  Under Real-World Perturbations Via Reinforcement Learning
EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic Under Real-World Perturbations Via Reinforcement Learning
Bibek Poudel
Weizi Li
Kevin Heaslip
29
11
0
21 Nov 2023
Data-driven Traffic Simulation: A Comprehensive Review
Data-driven Traffic Simulation: A Comprehensive Review
Di Chen
Meixin Zhu
Heng Yang
Xuesong Wang
Yinhai Wang
32
26
0
24 Oct 2023
Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via
  Adaptive Behavioral Costs in 3D Games
Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games
Kuo-Hao Ho
Ping-Chun Hsieh
Chiu-Chou Lin
You-Ren Luo
Feng-Jian Wang
I-Chen Wu
31
0
0
27 Sep 2023
EnsembleFollower: A Hybrid Car-Following Framework Based On
  Reinforcement Learning and Hierarchical Planning
EnsembleFollower: A Hybrid Car-Following Framework Based On Reinforcement Learning and Hierarchical Planning
Xu Han
Xianda Chen
Meixin Zhu
Pinlong Cai
Jianshan Zhou
Xiaowen Chu
30
7
0
30 Aug 2023
TrafficMCTS: A Closed-Loop Traffic Flow Generation Framework with
  Group-Based Monte Carlo Tree Search
TrafficMCTS: A Closed-Loop Traffic Flow Generation Framework with Group-Based Monte Carlo Tree Search
Licheng Wen
Ze Fu
Pinlong Cai
Daocheng Fu
Song Mao
Botian Shi
45
3
0
24 Aug 2023
Interactive Car-Following: Matters but NOT Always
Interactive Car-Following: Matters but NOT Always
Chengyuan Zhang
Ruipeng Chen
Jiacheng Zhu
Wenshuo Wang
Changliu Liu
Lijun Sun
28
2
0
30 Jul 2023
Safety-Assured Speculative Planning with Adaptive Prediction
Safety-Assured Speculative Planning with Adaptive Prediction
Xiangguo Liu
Ruochen Jiao
Yixuan Wang
Yimin Han
Bowen Zheng
Qi Zhu
20
10
0
21 Jul 2023
FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling
FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling
Xianda Chen
Meixin Zhu
Kehua Chen
Pengqin Wang
Hongliang Lu
Hui Zhong
Xu Han
Yinhai Wang
33
38
0
25 May 2023
Vision-based DRL Autonomous Driving Agent with Sim2Real Transfer
Vision-based DRL Autonomous Driving Agent with Sim2Real Transfer
Dian-Tao Li
Ostap Okhrin
29
3
0
19 May 2023
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas
Yun Hua
Shang Gao
Wenhao Li
Bo Jin
Xiangfeng Wang
H. Zha
24
3
0
10 May 2023
Car-Following Models: A Multidisciplinary Review
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
29
3
0
14 Apr 2023
FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings
FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings
Abduallah A. Mohamed
Jundi Liu
L. Boyle
Christian G. Claudel
27
0
0
12 Apr 2023
The Application of Driver Models in the Safety Assessment of Autonomous
  Vehicles: A Survey
The Application of Driver Models in the Safety Assessment of Autonomous Vehicles: A Survey
Cheng Wang
Fengwei Guo
Rui-na Yu
Luyao Wang
Yuxin Zhang
40
10
0
26 Mar 2023
A Bibliometric Analysis and Review on Reinforcement Learning for
  Transportation Applications
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications
Can Li
Lei Bai
L. Yao
S. Waller
Wei Liu
40
14
0
26 Oct 2022
Modeling driver's evasive behavior during safety-critical lane
  changes:Two-dimensional time-to-collision and deep reinforcement learning
Modeling driver's evasive behavior during safety-critical lane changes:Two-dimensional time-to-collision and deep reinforcement learning
Hongyu Guo
Kun Xie
M. Keyvan-Ekbatani
26
32
0
29 Sep 2022
Vessel-following model for inland waterways based on deep reinforcement
  learning
Vessel-following model for inland waterways based on deep reinforcement learning
Fabian Hart
Ostap Okhrin
M. Treiber
51
11
0
07 Jul 2022
AVDDPG: Federated reinforcement learning applied to autonomous platoon
  control
AVDDPG: Federated reinforcement learning applied to autonomous platoon control
Christian Boin
Lei Lei
Simon X. Yang
23
4
0
05 Jul 2022
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car
  Following Model
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model
Tianyu Shi
Yi Ai
Omar ElSamadisy
Baher Abdulhai
OffRL
12
9
0
03 Mar 2022
TransFollower: Long-Sequence Car-Following Trajectory Prediction through
  Transformer
TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer
Meixin Zhu
S. Du
X. Wang
Hao
Hao Yang
Ziyuan Pu
Yinhai Wang
ViT
11
16
0
04 Feb 2022
Brain-Inspired Modelling and Decision-making for Human-Like Autonomous
  Driving in Mixed Traffic Environment
Brain-Inspired Modelling and Decision-making for Human-Like Autonomous Driving in Mixed Traffic Environment
Peng Hang
Yiran Zhang
Cheng Lv
13
1
0
10 Jan 2022
A Generative Car-following Model Conditioned On Driving Styles
A Generative Car-following Model Conditioned On Driving Styles
Yifan Zhang
Xinhong Chen
Jianping Wang
Zuduo Zheng
Kui Wu
26
38
0
10 Dec 2021
Scalable Traffic Signal Controls using Fog-Cloud Based Multiagent
  Reinforcement Learning
Scalable Traffic Signal Controls using Fog-Cloud Based Multiagent Reinforcement Learning
P. Ha
Ha
Sikai Chen
Runjia Du
Samuel Labi
11
9
0
11 Oct 2021
Formulation and validation of a car-following model based on deep
  reinforcement learning
Formulation and validation of a car-following model based on deep reinforcement learning
Fabian Hart
Ostap Okhrin
M. Treiber
50
23
0
29 Sep 2021
Computational Imaging and Artificial Intelligence: The Next Revolution
  of Mobile Vision
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision
J. Suo
Weihang Zhang
Jin Gong
Xin Yuan
D. Brady
Qionghai Dai
50
23
0
18 Sep 2021
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning
  and Control of Autonomous Vehicles
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
Fei Ye
Shen Zhang
Pin Wang
Ching-yao Chan
24
55
0
29 May 2021
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing
Lin Liu
Shuo Feng
Yiheng Feng
Xichan Zhu
Henry X. Liu
14
16
0
04 Feb 2021
Act to Reason: A Dynamic Game Theoretical Model of Driving
Act to Reason: A Dynamic Game Theoretical Model of Driving
Cevahir Köprülü
Y. Yildiz
21
1
0
14 Jan 2021
Towards glass-box CNNs
Towards glass-box CNNs
Manaswini Piduguralla
Jignesh S. Bhatt
27
3
0
11 Jan 2021
Distributionally Consistent Simulation of Naturalistic Driving
  Environment for Autonomous Vehicle Testing
Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing
Xintao Yan
Shuo Feng
Haowei Sun
Henry X. Liu
37
26
0
08 Jan 2021
A Physics-Informed Deep Learning Paradigm for Car-Following Models
A Physics-Informed Deep Learning Paradigm for Car-Following Models
Zhaobin Mo
Xuan Di
Rongye Shi
PINN
AI4CE
30
132
0
24 Dec 2020
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