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Towards multi-agent reinforcement learning for...
Journal article

Towards multi-agent reinforcement learning for integrated network of optimal traffic controllers (MARLIN-OTC)

Abstract

Traffic congestion can be alleviated by infrastructure expansions; however, improving the existing infrastructure using traffic control is more plausible due to the obvious financial resources and physical space constraints. The most promising control tools include ramp metering, variable message signs, and signalized intersections. Synergizing the aforementioned strategies in one platform is an ultimate and challenging goal to alleviate …

Authors

El-Tantawy S; Abdulhai B

Journal

Transportation Letters, Vol. 2, No. 2, pp. 89–110

Publisher

Taylor & Francis

Publication Date

April 2010

DOI

10.3328/tl.2010.02.02.89-110

ISSN

1942-7867