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Safe, Efficient, and Comfortable Velocity Control based on Reinforcement
  Learning for Autonomous Driving
v1v2 (latest)

Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving

Transportation Research Part C: Emerging Technologies (TRC), 2019
29 January 2019
Meixin Zhu
Yinhai Wang
Ziyuan Pu
Jingyun Hu
X. Wang
Ruimin Ke
ArXiv (abs)PDFHTML

Papers citing "Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving"

50 / 65 papers shown
MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
Jia Hu
Zhexi Lian
Xuerun Yan
Ruiang Bi
Dou Shen
Yu Ruan
Haoran Wang
87
0
0
03 Dec 2025
RoaD: Rollouts as Demonstrations for Closed-Loop Supervised Fine-Tuning of Autonomous Driving Policies
Guillermo Garcia-Cobo
Maximilian Igl
Peter Karkus
Zhejun Zhang
Michael Watson
Yuxiao Chen
Boris Ivanovic
Marco Pavone
OffRL
120
1
0
01 Dec 2025
Toward a Holistic Multi-Criteria Trajectory Evaluation Framework for Autonomous Driving in Mixed Traffic Environment
Toward a Holistic Multi-Criteria Trajectory Evaluation Framework for Autonomous Driving in Mixed Traffic Environment
Nouhed Naidja
Stéphane Font
Marc Revilloud
Guillaume Sandou
72
0
0
01 Sep 2025
Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving
Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving
Ahmed Abouelazm
Jonas Michel
Helen Gremmelmaier
Tim Joseph
Philip Schorner
Johann Marius Zöllner
406
0
0
10 May 2025
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
Yuhan Li
Eugene Han
Yifan Hu
Wenzhuo Zhou
Zhengling Qi
Yifan Cui
Ruoqing Zhu
OffRL
900
0
0
01 May 2025
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
Zhuoren Li
Guizhe Jin
Ran Yu
Zhiwen Chen
Nan I. Li
...
Lu Xiong
Bo Leng
Jia Hu
Ilya Kolmanovsky
Dimitar Filev
240
2
0
31 Mar 2025
CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models
CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models
Zihao Sheng
Zilin Huang
Yansong Qu
Yen-Jung Chen
Sruthi Bhavanam
Sikai Chen
342
9
0
24 Feb 2025
One Stack, Diverse Vehicles: Checking Safe Portability of Automated Driving Software
One Stack, Diverse Vehicles: Checking Safe Portability of Automated Driving SoftwareIEEE/SICE International Symposium on System Integration (SII), 2025
Vladislav Nenchev
330
1
0
30 Jan 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
179
1
0
18 Sep 2024
A Safe Self-evolution Algorithm for Autonomous Driving Based on
  Data-Driven Risk Quantification Model
A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification ModelAccident Analysis and Prevention (Accid Anal Prev), 2024
Shuo Yang
Shizhen Li
Yanjun Huang
Hong Chen
210
8
0
23 Aug 2024
A Nested Graph Reinforcement Learning-based Decision-making Strategy for
  Eco-platooning
A Nested Graph Reinforcement Learning-based Decision-making Strategy for Eco-platooning
Xin Gao
Xueyuan Li
Hao Liu
Ao Li
Zhaoyang Ma
Zirui Li
143
1
0
14 Aug 2024
Adversarial Safety-Critical Scenario Generation using Naturalistic Human
  Driving Priors
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving PriorsIEEE Transactions on Intelligent Vehicles (TIV), 2024
Kunkun Hao
Yonggang Luo
Wen Cui
Yuqiao Bai
Jucheng Yang
Songyang Yan
Yuxi Pan
Zijiang Yang
AAML
436
32
0
06 Aug 2024
SECRM-2D: RL-Based Efficient and Comfortable Route-Following Autonomous
  Driving with Analytic Safety Guarantees
SECRM-2D: RL-Based Efficient and Comfortable Route-Following Autonomous Driving with Analytic Safety Guarantees
Tianyu Shi
Ilia Smirnov
Omar ElSamadisy
Baher Abdulhai
193
2
0
23 Jul 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
173
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
161
3
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
219
2
0
12 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
138
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
259
12
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
205
4
0
23 Jun 2024
Multi-Task Lane-Free Driving Strategy for Connected and Automated
  Vehicles: A Multi-Agent Deep Reinforcement Learning Approach
Multi-Task Lane-Free Driving Strategy for Connected and Automated Vehicles: A Multi-Agent Deep Reinforcement Learning Approach
M. Berahman
M. Rostami-Shahrbabaki
Klaus Bogenberger
180
1
0
20 Jun 2024
GTP-UDrive: Unified Game-Theoretic Trajectory Planner and Decision-Maker
  for Autonomous Driving in Mixed Traffic Environments
GTP-UDrive: Unified Game-Theoretic Trajectory Planner and Decision-Maker for Autonomous Driving in Mixed Traffic Environments
Nouhed Naidja
Guillaume Sandou
Stéphane Font
Marc Revilloud
212
5
0
20 Jun 2024
Act Better by Timing: A timing-Aware Reinforcement Learning for
  Autonomous Driving
Act Better by Timing: A timing-Aware Reinforcement Learning for Autonomous Driving
Guanzhou Li
Jianping Wu
Yujing He
200
0
0
19 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
276
7
0
15 Jun 2024
Shared learning of powertrain control policies for vehicle fleets
Shared learning of powertrain control policies for vehicle fleets
Lindsey Kerbel
B. Ayalew
Andrej Ivanco
157
2
0
27 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
372
23
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
399
15
0
31 Mar 2024
Deep Reinforcement Learning in Autonomous Car Path Planning and Control:
  A Survey
Deep Reinforcement Learning in Autonomous Car Path Planning and Control: A Survey
Yiyang Chen
Chao Ji
Yunrui Cai
Tong Yan
Bo Su
257
25
0
30 Mar 2024
Context-aware LLM-based Safe Control Against Latent Risks
Context-aware LLM-based Safe Control Against Latent Risks
Quang Khanh Luu
Xiyu Deng
Anh Van Ho
Yorie Nakahira
407
8
0
18 Mar 2024
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and
  Efficient Autonomous Driving
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving
Zilin Huang
Zihao Sheng
Chengyuan Ma
Sikai Chen
455
63
0
06 Jan 2024
Parameterized Decision-making with Multi-modal Perception for Autonomous
  Driving
Parameterized Decision-making with Multi-modal Perception for Autonomous Driving
Yuyang Xia
Shuncheng Liu
Quanlin Yu
Liwei Deng
You Zhang
Han Su
Kai Zheng
242
59
0
19 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 LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Bibek Poudel
Weizi Li
Kevin Heaslip
213
16
0
21 Nov 2023
Multi-Timescale Control and Communications with Deep Reinforcement
  Learning -- Part I: Communication-Aware Vehicle Control
Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part I: Communication-Aware Vehicle Control
Tong Liu
Lei Lei
Kan Zheng
Xuemin
X. Shen
183
13
0
19 Nov 2023
Combining Policy Gradient and Safety-Based Control for Autonomous
  Driving
Combining Policy Gradient and Safety-Based Control for Autonomous Driving
Xi Xiong
Lu Liu
137
0
0
20 Oct 2023
Smart Roads: Roadside Perception, Vehicle-Road Cooperation and Business
  Model
Smart Roads: Roadside Perception, Vehicle-Road Cooperation and Business ModelIEEE Network (IEEE Netw.), 2023
Ruiqiu Chen
Lu Gao
Yutian Liu
Yong Liang Guan
Yan Zhang
103
4
0
19 Oct 2023
KI-PMF: Knowledge Integrated Plausible Motion Forecasting
KI-PMF: Knowledge Integrated Plausible Motion Forecasting
Abhishek Vivekanandan
Ahmed Abouelazm
Philip Schorner
J. Marius Zöllner
333
5
0
18 Oct 2023
DeepQTest: Testing Autonomous Driving Systems with Reinforcement
  Learning and Real-world Weather Data
DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data
Chengjie Lu
T. Yue
Man Zhang
Shaukat Ali
197
13
0
08 Oct 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
101
9
0
30 Aug 2023
Safety in Traffic Management Systems: A Comprehensive Survey
Safety in Traffic Management Systems: A Comprehensive Survey
Wenlu Du
Ankan Dash
Jing Li
Hua Wei
Guiling Wang
127
24
0
11 Aug 2023
Communication-Efficient Zeroth-Order Distributed Online Optimization:
  Algorithm, Theory, and Applications
Communication-Efficient Zeroth-Order Distributed Online Optimization: Algorithm, Theory, and ApplicationsIEEE Access (IEEE Access), 2023
Ege C. Kaya
M. Sahin
Abolfazl Hashemi
175
4
0
09 Jun 2023
FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling
FollowNet: A Comprehensive Benchmark for Car-Following Behavior ModelingScientific Data (Sci Data), 2023
Xianda Chen
Meixin Zhu
Kehua Chen
Pengqin Wang
Hongliang Lu
Hui Zhong
Xu Han
Yinhai Wang
215
69
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
283
5
0
19 May 2023
Traffic Shaping and Hysteresis Mitigation Using Deep Reinforcement
  Learning in a Connected Driving Environment
Traffic Shaping and Hysteresis Mitigation Using Deep Reinforcement Learning in a Connected Driving Environment
R. Ammourah
Alireza Talebpour
87
0
0
06 Feb 2023
Safe and Efficient Manoeuvring for Emergency Vehicles in Autonomous
  Traffic using Multi-Agent Proximal Policy Optimisation
Safe and Efficient Manoeuvring for Emergency Vehicles in Autonomous Traffic using Multi-Agent Proximal Policy Optimisation
L. Parada
Eduardo Candela
Luís Marques
Panagiotis Angeloudis
194
16
0
31 Oct 2022
A Bibliometric Analysis and Review on Reinforcement Learning for
  Transportation Applications
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation ApplicationsTransportmetrica B: Transport Dynamics (TBTD), 2022
Can Li
Mengwei He
L. Yao
S. Waller
Wei Liu
174
21
0
26 Oct 2022
Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation
Traffic-Aware Autonomous Driving with Differentiable Traffic SimulationIEEE International Conference on Robotics and Automation (ICRA), 2022
L. Zheng
Sanghyun Son
Ming-Chyuan Lin
352
5
0
07 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 learningAccident Analysis and Prevention (Accid Anal Prev), 2022
Ziqiao Wang
Kun Xie
M. Keyvan-Ekbatani
199
51
0
29 Sep 2022
Multisymplectic Formulation of Deep Learning Using Mean--Field Type
  Control and Nonlinear Stability of Training Algorithm
Multisymplectic Formulation of Deep Learning Using Mean--Field Type Control and Nonlinear Stability of Training Algorithm
Nader Ganaba
128
0
0
07 Jul 2022
Vessel-following model for inland waterways based on deep reinforcement
  learning
Vessel-following model for inland waterways based on deep reinforcement learningOcean Engineering (Ocean Eng.), 2022
Fabian Hart
Ostap Okhrin
M. Treiber
203
14
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
224
5
0
05 Jul 2022
Autonomous Platoon Control with Integrated Deep Reinforcement Learning
  and Dynamic Programming
Autonomous Platoon Control with Integrated Deep Reinforcement Learning and Dynamic ProgrammingIEEE Internet of Things Journal (IEEE IoT J.), 2022
Tong Liu
Lei Lei
Kan Zheng
Kuan Zhang
297
36
0
15 Jun 2022
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