Decentralized traffic signal control for grid traffic network using genetic algorithm
This work aims to explore the potential to minimize traffic congestion using a non-deterministic algorithm. Conventionally, the deterministic algorithm such as fuzzy logic was proposed as the computational algorithm to compute the optimum traffic signal timing for minimizing vehicles in queue and tr...
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Main Authors: | , , , , , |
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Format: | Proceedings |
Language: | English English |
Published: |
IEEE
2019
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Subjects: | |
Online Access: | https://eprints.ums.edu.my/id/eprint/31463/1/Decentralized%20traffic%20signal%20control%20for%20grid%20traffic%20network%20using%20genetic%20algorithm-ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/31463/2/Decentralized%20traffic%20signal%20control%20for%20grid%20traffic%20network%20using%20genetic%20algorithm.pdf https://eprints.ums.edu.my/id/eprint/31463/ https://ieeexplore.ieee.org/document/9117490 |
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https://eprints.ums.edu.my/id/eprint/31463/1/Decentralized%20traffic%20signal%20control%20for%20grid%20traffic%20network%20using%20genetic%20algorithm-ABSTRACT.pdfhttps://eprints.ums.edu.my/id/eprint/31463/2/Decentralized%20traffic%20signal%20control%20for%20grid%20traffic%20network%20using%20genetic%20algorithm.pdf
https://eprints.ums.edu.my/id/eprint/31463/
https://ieeexplore.ieee.org/document/9117490