NDLI: Q-learning based multi-intersection traffic signal control model

Content Provider	IEEE Xplore Digital Library
Author	Jiong Song Zhao Jin
Copyright Year	2011
Description	Author affiliation: Yunnan Jiao Tong Vocational and technical College, Kunming, 650101, China (Jiong Song) \|\| Yunnan University, Kunming, 650091, China (Zhao Jin)
Abstract	In multi-intersection urban traffic environment, conventional fixed-time traffic signal control methods expose low performance when face with complex and stochastic traffic conditions which caused by the interaction among multiple intersections. A Q-learning based traffic signal control model is proposed to deal with time-varying and stochastic traffic flow problem, which takes advantage of the specialty of autonomous learning inherent in Q-learning. The capacity of discovering autonomously optimal control policy corresponding to varying traffic conditions and no fixed mathematic control model is needed are the major advantages of this method. The experiment results in simulation environment also demonstrate this method is applicable and effective.
Starting Page	280
Ending Page	283
File Size	788373
Page Count	4
File Format	PDF
ISBN	9781457702471
e-ISBN	9781457702464
DOI	10.1109/ICSSEM.2011.6081298
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Out of order Q-Learning Multi-intersection Traffic signal control
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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