Genetic algorithm based signal optimizer for oversaturated urban signalized intersection

• Main Authors: Tan, Min Keng, Chuo, Helen Sin Ee, Chin, Renee Ka Yin, Kiam, Beng Yeo, Teo, Kenneth Tze Kin
• Format: Proceedings
• Language: English; English
• Published: IEEE Inc. 2017
• Subjects: HE331-380 Traffic engineering. Roads and highways. Streets; QA76.75-76.765 Computer software
• Online Access: https://eprints.ums.edu.my/id/eprint/31757/1/Genetic%20algorithm%20based%20signal%20optimizer%20for%20oversaturated%20urban%20signalized%20intersection.ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/31757/2/Genetic%20algorithm%20based%20signal%20optimizer%20for%20oversaturated%20urban%20signalized%20intersection.pdf; https://eprints.ums.edu.my/id/eprint/31757/; https://ieeexplore.ieee.org/document/7804762
• Institution: Universiti Malaysia Sabah

Relieving traffic congestion is an urgent call for traffic engineering. Although various adaptive control strategies have been reported in literature to reduce the travel delay, most of them are not tested under oversaturated condition, where the traffic demand is higher than the road capacity. Ther...