A multiagent framework for learning dynamic traffic management strategies

JJ Chung, C Rebhuhn, C Yates, GA Hollinger… - Autonomous …, 2019 - Springer
There is strong commercial interest in the use of large scale automated transport robots in
industrial settings (eg warehouse robots) and we are beginning to see new applications …

[PDF][PDF] Scalable multiagent driving policies for reducing traffic congestion

J Cui, W Macke, H Yedidsion, A Goyal, D Urieli… - 2021 - repositories.lib.utexas.edu
Traffic congestion is a major challenge in modern urban settings. The industry-wide
development of autonomous and automated vehicles (AVs) motivates the question of how …

Learning a robust multiagent driving policy for traffic congestion reduction

Y Zhang, W Macke, J Cui, S Hornstein, D Urieli… - Neural Computing and …, 2023 - Springer
In most modern cities, traffic congestion is one of the most salient societal challenges. Past
research has shown that inserting a limited number of autonomous vehicles (AVs) within the …

Opportunities for multiagent systems and multiagent reinforcement learning in traffic control

ALC Bazzan - Autonomous Agents and Multi-Agent Systems, 2009 - Springer
The increasing demand for mobility in our society poses various challenges to traffic
engineering, computer science in general, and artificial intelligence and multiagent systems …

Multiagent traffic management: An improved intersection control mechanism

K Dresner, P Stone - Proceedings of the fourth international joint …, 2005 - dl.acm.org
Traffic congestion is one of the leading causes of lost productivity and decreased standard of
living in urban settings. Recent advances in artificial intelligence suggest vehicle navigation …

[PDF][PDF] Multiagent traffic management: A reservation-based intersection control mechanism

K Dresner, P Stone - … Agents and Multiagent Systems, International Joint …, 2004 - Citeseer
Traffic congestion is one of the leading causes of lost productivity and decreased standard of
living in urban settings. Recent advances in artificial intelligence suggest vehicle navigation …

[图书][B] Applications of agent technology in traffic and transportation

F Klügl, A Bazzan, S Ossowski - 2006 - books.google.com
Building effective and user-friendly transportation systems is one of the big challenges for
engineers in the 21st century. There is an increasing need to understand, model, and …

Emergent behaviors in mixed-autonomy traffic

C Wu, A Kreidieh, E Vinitsky… - Conference on Robot …, 2017 - proceedings.mlr.press
Traffic dynamics are often modeled by complex dynamical systems for which classical
analysis tools can struggle to provide tractable policies used by transportation agencies and …

Multi-agent reinforcement learning for traffic flow management of autonomous vehicles

A Mushtaq, IU Haq, MA Sarwar, A Khan, W Khalil… - Sensors, 2023 - mdpi.com
Intelligent traffic management systems have become one of the main applications of
Intelligent Transportation Systems (ITS). There is a growing interest in Reinforcement …

Traffic congestion management as a learning agent coordination problem

K Tumer, ZT Welch, A Agogino - Multi-Agent Systems for Traffic and …, 2009 - igi-global.com
Traffic management problems provide a unique environment to study how multi-agent
systems promote desired system level behavior. In particular, they represent a special class …