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: Khaled Abdul Rahman, Jomaa, Cheng, Jack Kie
Format: Article
Language:English
Published: OMICS International 2017
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
id my.ump.umpir.25455
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spelling my.ump.umpir.254552020-02-11T04:46:19Z http://umpir.ump.edu.my/id/eprint/25455/ An integrated model to control traffic lights : controlling of traffic lights in multiple intersections using fuzzy logic and genetic algorithm Khaled Abdul Rahman, Jomaa Cheng, Jack Kie QA Mathematics T Technology (General) TK Electrical engineering. Electronics Nuclear engineering TS Manufactures 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 paper will adjust the timing and phasing of the green traffic lights according to the current situation in the proposed traffic intersections; each intersection is supposed to be controlled by traffic signals that will apply the model. The green light interval time length shall provide at an intersection will be decided by FL. the outputs of FL will be optimized by GA, in order to obtain a higher performance. This performance can be measured considering the reduction in the waiting time and the total amount of vehicles that arrived to the Queue of the three intersections. The proposed model expected to provide a significant improvement to the traffic light system performance which might be very important to be applied in the metropolitan areas in Malaysia. OMICS International 2017-02 Article PeerReviewed pdf en cc_by_nd_4 http://umpir.ump.edu.my/id/eprint/25455/1/An%20integrated%20model%20to%20control%20traffic%20lights%20.pdf Khaled Abdul Rahman, Jomaa and Cheng, Jack Kie (2017) An integrated model to control traffic lights : controlling of traffic lights in multiple intersections using fuzzy logic and genetic algorithm. Business and Economics Journal, 8 (1). pp. 1-9. ISSN 2151-6219 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
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA Mathematics
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
spellingShingle QA Mathematics
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Khaled Abdul Rahman, Jomaa
Cheng, Jack Kie
An integrated model to control traffic lights : controlling of traffic lights in multiple intersections using fuzzy logic and genetic algorithm
description 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 paper will adjust the timing and phasing of the green traffic lights according to the current situation in the proposed traffic intersections; each intersection is supposed to be controlled by traffic signals that will apply the model. The green light interval time length shall provide at an intersection will be decided by FL. the outputs of FL will be optimized by GA, in order to obtain a higher performance. This performance can be measured considering the reduction in the waiting time and the total amount of vehicles that arrived to the Queue of the three intersections. The proposed model expected to provide a significant improvement to the traffic light system performance which might be very important to be applied in the metropolitan areas in Malaysia.
format Article
author Khaled Abdul Rahman, Jomaa
Cheng, Jack Kie
author_facet Khaled Abdul Rahman, Jomaa
Cheng, Jack Kie
author_sort Khaled Abdul Rahman, Jomaa
title An integrated model to control traffic lights : controlling of traffic lights in multiple intersections using fuzzy logic and genetic algorithm
title_short An integrated model to control traffic lights : controlling of traffic lights in multiple intersections using fuzzy logic and genetic algorithm
title_full An integrated model to control traffic lights : controlling of traffic lights in multiple intersections using fuzzy logic and genetic algorithm
title_fullStr An integrated model to control traffic lights : controlling of traffic lights in multiple intersections using fuzzy logic and genetic algorithm
title_full_unstemmed An integrated model to control traffic lights : controlling of traffic lights in multiple intersections using fuzzy logic and genetic algorithm
title_sort integrated model to control traffic lights : controlling of traffic lights in multiple intersections using fuzzy logic and genetic algorithm
publisher OMICS International
publishDate 2017
url 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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