Multi-Agent Constrained Policy Optimization for Conflict-Free Management of Connected Autonomous Vehicles at Unsignalized Intersections
R Zhao, Y Li, F Gao, Z Gao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Autonomous Intersection Management (AIM) systems present a new paradigm for conflict-
free cooperation of connected autonomous vehicles (CAVs) at road intersections, the aim of …
free cooperation of connected autonomous vehicles (CAVs) at road intersections, the aim of …
Centralized Cooperation for Connected Autonomous Vehicles at Intersections by Safe Deep Reinforcement Learning
R Zhao, Y Li, K Wang, Y Fan, F Gao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs) have the potential to transform traffic
management, especially at intersections. Traditional traffic signals might become obsolete …
management, especially at intersections. Traditional traffic signals might become obsolete …
Deep reinforcement learning for autonomous vehicles collaboration at unsignalized intersections
As conservative intersection management, signalized intersection has a significant
bottleneck in improving traffic efficiency when it comes to connected autonomous vehicles …
bottleneck in improving traffic efficiency when it comes to connected autonomous vehicles …
Real-time cooperative vehicle coordination at unsignalized road intersections
Cooperative coordination at unsignalized road intersections, which aims to improve the
driving safety and traffic throughput for connected and automated vehicles (CAVs), has …
driving safety and traffic throughput for connected and automated vehicles (CAVs), has …
D-HAL: Distributed Hierarchical Adversarial Learning for Multi-Agent Interaction in Autonomous Intersection Management
G Li, J Wu, Y He - arXiv preprint arXiv:2303.02630, 2023 - arxiv.org
Autonomous Intersection Management (AIM) provides a signal-free intersection scheduling
paradigm for Connected Autonomous Vehicles (CAVs). Distributed learning method has …
paradigm for Connected Autonomous Vehicles (CAVs). Distributed learning method has …
Coordination for connected and automated vehicles at non-signalized intersections: A value decomposition-based multiagent deep reinforcement learning approach
Z Guo, Y Wu, L Wang, J Zhang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The recent proliferation of the research on multi-agent deep reinforcement learning (MDRL)
offers an encouraging way to coordinate multiple connected and automated vehicles (CAVs) …
offers an encouraging way to coordinate multiple connected and automated vehicles (CAVs) …
Multi-agent deep reinforcement learning to manage connected autonomous vehicles at tomorrow's intersections
GP Antonio, C Maria-Dolores - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
In recent years, the growing development of Connected Autonomous Vehicles (CAV),
Intelligent Transport Systems (ITS), and 5G communication networks have led to the advent …
Intelligent Transport Systems (ITS), and 5G communication networks have led to the advent …
Cooperative Decision-Making for CAVs at Unsignalized Intersections: A MARL Approach with Attention and Hierarchical Game Priors
The development of autonomous vehicles has shown great potential to enhance the
efficiency and safety of transportation systems. However, the decision-making issue in …
efficiency and safety of transportation systems. However, the decision-making issue in …
Multi-Intersection Management for Connected Autonomous Vehicles by Reinforcement Learning
The rapid development of connected autonomous vehicles (CAVs) makes it foreseeable that
CAVs will dominate future road traffic. To manage CAV traffic, researchers developed a …
CAVs will dominate future road traffic. To manage CAV traffic, researchers developed a …
HARL: A novel hierachical adversary reinforcement learning for automoumous intersection management
G Li, J Wu, Y He - arXiv preprint arXiv:2205.02428, 2022 - arxiv.org
As an emerging technology, Connected Autonomous Vehicles (CAVs) are believed to have
the ability to move through intersections in a faster and safer manner, through effective …
the ability to move through intersections in a faster and safer manner, through effective …