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Multi-Agent Reinforcement Learning for Integrated...
Conference

Multi-Agent Reinforcement Learning for Integrated Network of Adaptive Traffic Signal Controllers (MARLIN-ATSC)

Abstract

Traffic congestion in Greater Toronto Area costs Canada $ 6 billion /year and is expected to grow up to $ 15 billion /year in the next few decades. Adaptive Traffic Signal Control(ATSC) is a promising technique to alleviate traffic congestion. For medium-large transportation networks, coordinated ATSC is becoming a challenging problem because the number of system states and actions grows exponentially as the number of networked intersections …

Authors

El-Tantawy S; Abdulhai B

Pagination

pp. 319-326

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

DOI

10.1109/itsc.2012.6338707

Name of conference

2012 15th International IEEE Conference on Intelligent Transportation Systems

Conference proceedings

17th International IEEE Conference on Intelligent Transportation Systems (ITSC)

ISSN

2153-0009