Genetic algorithm based signal optimizer for oversaturated urban signalized intersection

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...

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Bibliographic Details

Main Authors:	Tan, Min Keng, Chuo, Helen Sin Ee, Chin, Renee Ka Yin, Kiam, Beng Yeo, Teo, Kenneth Tze Kin
Format:	Proceedings
Language:	en en
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
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