Hierarchical multi-agent system in traffic network signalization with improved genetic algorithm

Instead of using classical offline data-driven optimization technique in traffic network signal control, this work aims to explore the potential of implementing an online data-driven optimization technique. A dynamic modeling technique is proposed using Q-learning (QL) algorithm to online observe an...

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Bibliographic Details

Main Authors:	Tan, Min Keng, Chuo, Helen Sin Ee, Chin, Renee Ka Yin, Yeo, Kiam Beng, Teo, Kenneth Tze Kin
Format:	Proceedings
Language:	en en
Published:	IEEE Inc. 2019
Subjects:	TE210-228.3 Construction details Including foundations, maintenance, equipment
Online Access:	https://eprints.ums.edu.my/id/eprint/31766/1/Hierarchical%20multi-agent%20system%20in%20traffic%20network%20signalization%20with%20improved%20genetic%20algorithm.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/31766/2/Hierarchical%20multi-agent%20system%20in%20traffic%20network%20signalization%20with%20improved%20genetic%20algorithm.pdf https://eprints.ums.edu.my/id/eprint/31766/ https://ieeexplore.ieee.org/document/8638464
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