An integrated model to control traffic lights : controlling of traffic lights in multiple intersections using fuzzy logic and genetic algorithm
In this paper we propose an integrated model combines Fuzzy Logic (FL) and Genetic Algorithm (GA), utilizing their applications in order to minimize the traffic congestion and traffic delay, through controlling traffic light system in three proposed traffic intersections. The proposed model in this...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
OMICS International
2017
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/25455/1/An%20integrated%20model%20to%20control%20traffic%20lights%20.pdf http://umpir.ump.edu.my/id/eprint/25455/ https://www.omicsonline.org/open-access/an-integrated-model-to-control-traffic-lights-controlling-of-traffic-lightsin-multiple-intersections-using-fuzzy-logic-and-genetic-2151-6219-1000287.pdf https://doi.org/10.4172/2151-6219.1000287 |
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Institution: | Universiti Malaysia Pahang |
Language: | English |
Internet
http://umpir.ump.edu.my/id/eprint/25455/1/An%20integrated%20model%20to%20control%20traffic%20lights%20.pdfhttp://umpir.ump.edu.my/id/eprint/25455/
https://www.omicsonline.org/open-access/an-integrated-model-to-control-traffic-lights-controlling-of-traffic-lightsin-multiple-intersections-using-fuzzy-logic-and-genetic-2151-6219-1000287.pdf
https://doi.org/10.4172/2151-6219.1000287