Optimization of urban traffic network signalization using genetic algorithm

• Main Authors: Tan, Min Keng, Chuo, Helen Sin Ee, Chin, Renee Ka Yin, Yeo, Kiam Beng, Teo, Kenneth Tze Kin
• Format: Proceedings
• Language: English; English
• Published: IEEE Inc. 2017
• Subjects: QA75.5-76.95 Electronic computers. Computer science; TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
• Online Access: https://eprints.ums.edu.my/id/eprint/31730/1/Optimization%20of%20urban%20traffic%20network%20signalization%20using%20genetic%20algorithm-ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/31730/2/Optimization%20of%20urban%20traffic%20network%20signalization%20using%20genetic%20algorithm.pdf; https://eprints.ums.edu.my/id/eprint/31730/; https://ieeexplore.ieee.org/document/7881994

This work aims to minimize average delay for an urban signalized intersection under oversaturated condition using genetic algorithm (GA). Relieving urban traffic congestion is an urgent call for traffic engineering. The effectiveness of traffic signalization is one of the key solutions to reduce con...