Agent-based optimization for multiple signalized intersections using Q-learning

Relieving urban traffic congestion has always been an urgent call in a dynamic traffic network. The objective of this research is to control the traffic flow within a traffic network consists of multiple signalized intersections with traffic ramp. The massive traffic network problem is dealt through...

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Bibliographic Details

Main Authors:	Teo, Kenneth Tze Kin, Yeo Kiam Beng @ Abdul Noor, Chin, Yit Kwong, Chuo, Helen Sin Ee, Tan, Min Keng
Format:	Article
Language:	en en
Published:	United Kingdom Simulation Society 2014
Subjects:	QA76.75-76.765 Computer software TE1-450 Highway engineering. Roads and pavements
Online Access:	https://eprints.ums.edu.my/id/eprint/29138/1/Agent-based%20optimization%20for%20Multiple%20Signalized%20Intersections%20using%20Q-Learning%20ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/29138/2/Agent-Based%20Optimization%20for%20Multiple%20Signalized%20Intersections%20using%20Q-Learning_FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/29138/ https://ijssst.info/Vol-15/No-6/paper10.pdf http://dx.doi.org/10.5013/IJSSST.a.15.06.10
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