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: Tze, Kenneth Kin Teo, 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:
Online Access:https://eprints.ums.edu.my/id/eprint/31344/1/Agent-based%20optimization%20for%20multiple%20signalized%20intersections%20using%20q-learning.pdf
https://eprints.ums.edu.my/id/eprint/31344/2/Agent-based%20optimization%20for%20multiple%20signalized%20intersections%20using%20q-learning1.pdf
https://eprints.ums.edu.my/id/eprint/31344/
https://msclab.files.wordpress.com/2016/01/ijssst2014-agent-based-optimization-for-multiple-signalized-intersections-using-q-learning.pdf
https://doi.org/10.5013/IJSSST.a.15.06.10
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