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) …
A multi-agent deep reinforcement learning coordination framework for connected and automated vehicles at merging roadways
The steady increase in the number of vehicles operating on the highways continues to
exacerbate congestion, accidents, energy consumption, and greenhouse gas emissions …
exacerbate congestion, accidents, energy consumption, and greenhouse gas emissions …
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 …
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 …
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 …
[PDF][PDF] Centralized conflict-free cooperation for connected and automated vehicles at intersections by proximal policy optimization
Connected vehicles will change the modes of future transportation management and
organization, especially at intersections. There are mainly two categories coordination …
organization, especially at intersections. There are mainly two categories coordination …
Collaborative Traffic Signal Automation Using Deep Q-Learning
Multi-agent deep reinforcement learning (MDRL) is a popular choice for multi-intersection
traffic signal control, generating decentralized cooperative traffic signal strategies in specific …
traffic signal control, generating decentralized cooperative traffic signal strategies in specific …
Traffic signal priority control based on shared experience multi‐agent deep reinforcement learning
Z Wang, K Yang, L Li, Y Lu… - IET Intelligent Transport …, 2023 - Wiley Online Library
Abstract Deep Reinforcement Learning (DRL) has demonstrated its great potential for
Adaptive Traffic Signal Control (ATSC) tasks at single‐intersection. In the transportation …
Adaptive Traffic Signal Control (ATSC) tasks at single‐intersection. In the transportation …
Leveraging autonomous vehicles in mixed-autonomy traffic networks with reinforcement learning-controlled intersections
S Mosharafian, S Afzali… - Transportation …, 2023 - Taylor & Francis
Development of new approaches to adaptive traffic signal control has received significant
attention; an example is the reinforcement learning (RL), where training and implementation …
attention; an example is the reinforcement learning (RL), where training and implementation …
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 …