Autonomous Intersection

Autonomous intersection management (AIM) aims to replace traditional traffic signals with coordinated control of autonomous vehicles (AVs) at intersections, maximizing throughput and safety. Current research heavily focuses on decentralized control strategies, employing multi-agent reinforcement learning (MARL), hierarchical adversarial learning, and other optimization techniques to enable collision-free navigation without centralized coordination or extensive infrastructure. These advancements offer potential for improved traffic efficiency and reduced congestion in urban environments, impacting both transportation systems and the broader field of multi-agent systems research.

Papers

May 14, 2024

A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning
Matteo Cederle, Marco Fabris, Gian Antonio Susto
Autonomous Vehicle Multi Agent Reinforcement Learning Constructive Approach Intersection Scenario Traffic Scenario Autonomous Intersection

November 29, 2023

A low-cost Framework for Decentralized Autonomous Intersection Management
Rugved Katole, Arpita Sinha
Autonomous Vehicle Traffic Management Unsignalized Intersection Intersection Management Autonomous Intersection

March 5, 2023

D-HAL: Distributed Hierarchical Adversarial Learning for Multi-Agent Interaction in Autonomous Intersection Management
Guanzhou Li, Jianping Wu, Yujing He
Generative Adversarial Network Deep Reinforcement Learning Connected Autonomous Vehicle Multi Agent Interaction Autonomous Intersection Intersection Safety

January 26, 2023

Periodic Multi-Agent Path Planning
Kazumi Kasaura, Ryo Yonetani, Mai Nishimura
Collision Free Multi Agent Path Planning Autonomous Intersection

October 3, 2022

Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection
Majid Khonji, Rashid Alyassi, Wolfgang Merkt, Areg Karapetyan, Xin Huang, Sungkweon Hong, Jorge Dias, Brian Williams
Application Proficiency Collision Risk Stochastic Shortest Path Intersection Management Autonomous Intersection

June 24, 2022

Modeling Adaptive Platoon and Reservation Based Autonomous Intersection Control: A Deep Reinforcement Learning Approach
Duowei Li, Jianping Wu, Feng Zhu, Tianyi Chen, Yiik Diew Wong
Autonomous Vehicle Deep Reinforcement Learning Approach Platoon Control Autonomous Intersection Lane Change Decision

May 5, 2022

HARL: A Novel Hierachical Adversary Reinforcement Learning for Automoumous Intersection Management
Guanzhou Li, Jianping Wu, Yujing He
Reinforcement Learning Intersection Scenario Hierarchical Reinforcement Learning Connected Autonomous Vehicle Intersection Management Heterogeneous Multi Agent Reinforcement Learning Autonomous Intersection

February 9, 2022

Intelligent Autonomous Intersection Management
Udesh Gunarathna, Shanika Karunasekara, Renata Borovica-Gajic, Egemen Tanin
Reinforcement Learning Connected Autonomous Vehicle Intersection Management Autonomous Intersection

November 8, 2021

Trust-aware Control for Intelligent Transportation Systems
Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan
Intelligent Transportation System Risk Aware Control Driving Agent Autonomous Intersection

Autonomous Intersection

Papers

A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning

A low-cost Framework for Decentralized Autonomous Intersection Management

D-HAL: Distributed Hierarchical Adversarial Learning for Multi-Agent Interaction in Autonomous Intersection Management

Periodic Multi-Agent Path Planning

Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection

Modeling Adaptive Platoon and Reservation Based Autonomous Intersection Control: A Deep Reinforcement Learning Approach

HARL: A Novel Hierachical Adversary Reinforcement Learning for Automoumous Intersection Management

Intelligent Autonomous Intersection Management

Trust-aware Control for Intelligent Transportation Systems