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

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

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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:English
English
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

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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

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