Conference
An agent-based learning towards decentralized and coordinated traffic signal control
Abstract
Adaptive traffic signal control is a promising technique for alleviating traffic congestion. Reinforcement Learning (RL) has the potential to tackle the optimal traffic control problem for a single agent. However, the ultimate goal is to develop integrated traffic control for multiple intersections. Integrated traffic control can be efficiently achieved using decentralized controllers. Multi-Agent Reinforcement Learning (MARL) is an extension …
Authors
El-Tantawy S; Abdulhai B
Pagination
pp. 665-670
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
September 1, 2010
DOI
10.1109/itsc.2010.5625066
Name of conference
13th International IEEE Conference on Intelligent Transportation Systems
Conference proceedings
17th International IEEE Conference on Intelligent Transportation Systems (ITSC)
ISSN
2153-0009