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Adaptive Fuzzy Logic Traffic Light Management System

UniKL BMI

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Bibliographic Details
Main Authors: I. Adam, A. Wahab, M. Yaakop, A. Abdul Salam, Z.Zaharudin, UniKL BMI
Format: Working Paper
Language:English
Published: 2015
Subjects:
Fuzzy logic
Flexibility
Traffic light
Online Access:http://localhost/xmlui/handle/123456789/9747
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id my.unikl.ir-9747
record_format eprints
spelling my.unikl.ir-97472015-03-31T04:35:14Z Adaptive Fuzzy Logic Traffic Light Management System I. Adam A. Wahab M. Yaakop A. Abdul Salam Z.Zaharudin UniKL BMI Fuzzy logic Flexibility Traffic light UniKL BMI The inefficiency in the traffic light timing contributes to road rage and air pollution. In fact it causes high level of stress to people. It is totally dependent upon the number of vehicles arrival at the intersections. In general, the number of vehicles arrival at the intersection is not consistent. For that reason, the fixed traffic light timing scheme is not efficient. The inefficiency of the system is intensified by the rapid increases of vehicles on road that is inconsistent with reassessment of road infrastructures. In some extends cases, traffic officer require to be presented at the intersection to manage the traffic. In this paper, the flexibility on generating of the traffic light switching scheme to adapt the inconsistency in number of vehicles arrival is addressed by the fuzzy logic controller. The experimental design developed for the fixed time and adaptive traffic light system and the results are as presented. Results show that the adaptive traffic light based on fuzzy logic controller has outperformed fixed timing traffic light. IEEE 2015-03-31T04:35:14Z 2015-03-31T04:35:14Z 2015-03-31 Working Paper 10.1109/ICE2T.2014.7006274 http://localhost/xmlui/handle/123456789/9747 en
institution Universiti Kuala Lumpur
building UniKL Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kuala Lumpur
content_source UniKL Institutional Repository
url_provider http://ir.unikl.edu.my/
language English
topic Fuzzy logic
Flexibility
Traffic light
spellingShingle Fuzzy logic
Flexibility
Traffic light
I. Adam
A. Wahab
M. Yaakop
A. Abdul Salam
Z.Zaharudin
UniKL BMI
Adaptive Fuzzy Logic Traffic Light Management System
description UniKL BMI
format Working Paper
author I. Adam
A. Wahab
M. Yaakop
A. Abdul Salam
Z.Zaharudin
UniKL BMI
author_facet I. Adam
A. Wahab
M. Yaakop
A. Abdul Salam
Z.Zaharudin
UniKL BMI
author_sort I. Adam
title Adaptive Fuzzy Logic Traffic Light Management System
title_short Adaptive Fuzzy Logic Traffic Light Management System
title_full Adaptive Fuzzy Logic Traffic Light Management System
title_fullStr Adaptive Fuzzy Logic Traffic Light Management System
title_full_unstemmed Adaptive Fuzzy Logic Traffic Light Management System
title_sort adaptive fuzzy logic traffic light management system
publishDate 2015
url http://localhost/xmlui/handle/123456789/9747
_version_ 1644485133392150528
score 13.222552

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