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 …
Intelligent autonomous intersection management
U Gunarathna, S Karunasekara… - arXiv preprint arXiv …, 2022 - arxiv.org
Connected Autonomous Vehicles will make autonomous intersection management a reality
replacing traditional traffic signal control. Autonomous intersection management requires …
replacing traditional traffic signal control. Autonomous intersection management requires …
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 …
Concurrent optimization of safety and traffic flow using deep reinforcement learning for autonomous intersection management
With increasing connectivity and autonomy in traffic eco-systems, Autonomous Intersection
Management (AIM) has attracted strong attention from the research community. AIM helps …
Management (AIM) has attracted strong attention from the research community. AIM helps …
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 …
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 …
Hierarchical reinforcement learning for dynamic autonomous vehicle navigation at intelligent intersections
Recent years have witnessed the rapid development of the Cooperative Vehicle
Infrastructure System (CVIS), where road infrastructures such as traffic lights (TL) and …
Infrastructure System (CVIS), where road infrastructures such as traffic lights (TL) and …
Courteous behavior of automated vehicles at unsignalized intersections via reinforcement learning
S Yan, T Welschehold, D Büscher… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
The transition from today's mostly human-driven traffic to a purely automated one will be a
gradual evolution, with the effect that we will likely experience mixed traffic in the near future …
gradual evolution, with the effect that we will likely experience mixed traffic in the near future …
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 …
Autonomous intersection management by using reinforcement learning
P Karthikeyan, WL Chen, PA Hsiung - Algorithms, 2022 - mdpi.com
Developing a safer and more effective intersection-control system is essential given the
trends of rising populations and vehicle numbers. Additionally, as vehicle communication …
trends of rising populations and vehicle numbers. Additionally, as vehicle communication …
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