Decentralized traffic signal control for grid traffic network using genetic algorithm

• 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: QA75.5-76.95 Electronic computers. Computer science; TK1-9971 Electrical engineering. Electronics. Nuclear engineering
• 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

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...