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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Bibliographic Details
Main Authors: Min Keng Tan, Helen Sin Ee Chuo, Kiam Beng Yeo, Renee Ka Yin Chin, Sha Huang, Kenneth Tze Kin Teo
Format: Proceedings
Language:English
English
Published: IEEE 2019
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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