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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Main Authors: | , , , , |
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Format: | Proceedings |
Language: | English English |
Published: |
IEEE Inc.
2019
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Subjects: | |
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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Institution: | Universiti Malaysia Sabah |
Language: | English English |