A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning
Autonomous intersection management (AIM) poses significant challenges due to the
intricate nature of real-world traffic scenarios and the need for a highly expensive centralised …
intricate nature of real-world traffic scenarios and the need for a highly expensive centralised …
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 …
Real-time intelligent autonomous intersection management using reinforcement learning
U Gunarathna, S Karunasekera… - 2022 IEEE Intelligent …, 2022 - ieeexplore.ieee.org
Autonomous intersection management has the ability to reduce congestion at intersections
significantly, compared to classical traffic signal control in the era of connected autonomous …
significantly, compared to classical traffic signal control in the era of connected autonomous …
Utilizing Multi-Agent Deep Reinforcement Learning for Autonomous Intersection Management Systems: A Promising Approach
In modern cities, intersections are vital pieces of road infrastructure, but they also have the
potential to snarl traffic owing to accidents or a lack of traffic coordination systems like traffic …
potential to snarl traffic owing to accidents or a lack of traffic coordination systems like traffic …
Learning from Oracle demonstrations—a new approach to develop autonomous intersection management control algorithms based on multiagent deep reinforcement …
A Guillen-Perez, MD Cano - IEEE Access, 2022 - ieeexplore.ieee.org
Worldwide, many companies are working towards safe and innovative control systems for
Autonomous Vehicles (AVs). A key component is Autonomous Intersection Management …
Autonomous Vehicles (AVs). A key component is Autonomous Intersection Management …
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 …
Multi-agent reinforcement learning-based autonomous intersection management protocol with attention mechanism
J Xue, B Li, R Zhang - 2022 IEEE 25th International Conference …, 2022 - ieeexplore.ieee.org
With the ever-increasing traffic congestion issues and fast development of autonomous and
connected vehicles, autonomous intersection management (AIM) has been recently …
connected vehicles, autonomous intersection management (AIM) has been recently …
End-to-end intersection handling using multi-agent deep reinforcement learning
AP Capasso, P Maramotti, A Dell'Eva… - 2021 IEEE Intelligent …, 2021 - ieeexplore.ieee.org
Navigating through intersections is one of the main challenging tasks for an autonomous
vehicle. However, for the majority of intersections regulated by traffic lights, the problem …
vehicle. However, for the majority of intersections regulated by traffic lights, the problem …
Multi-agent Decision-making at Unsignalized Intersections with Reinforcement Learning from Demonstrations
Intersections are key nodes and also bottlenecks of urban road networks, so improving the
traffic efficiency at intersections is beneficial to improving overall traffic throughput and …
traffic efficiency at intersections is beneficial to improving overall traffic throughput and …
[PDF][PDF] RAIM: Reinforced autonomous intersection management—AIM based on MADRL
A Guillen-Perez, MD Cano - Proceedings of the NeurIPS, 2020 - researchgate.net
Abstract AIM (Autonomous Intersection Management) is an innovative solution for the control
of autonomous vehicles (AVs) at urban intersections, based on the communication capacity …
of autonomous vehicles (AVs) at urban intersections, based on the communication capacity …