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Adaptive Fuzzy Logic Traffic Light Management System

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dc.contributor.author I. Adam
dc.contributor.author A. Wahab
dc.contributor.author M. Yaakop
dc.contributor.author A. Abdul Salam
dc.contributor.author Z.Zaharudin
dc.contributor.author UniKL BMI
dc.date.accessioned 2015-03-31T04:35:14Z
dc.date.available 2015-03-31T04:35:14Z
dc.date.issued 2015-03-31
dc.identifier.uri 10.1109/ICE2T.2014.7006274
dc.identifier.uri http://localhost/xmlui/handle/123456789/9747
dc.description UniKL BMI en_US
dc.description.abstract 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. en_US
dc.description.sponsorship IEEE en_US
dc.language.iso en en_US
dc.subject Fuzzy logic en_US
dc.subject Flexibility en_US
dc.subject Traffic light en_US
dc.title Adaptive Fuzzy Logic Traffic Light Management System en_US
dc.type Working Paper en_US
dc.conference.name International Conference on Engineering Technology and Technopreneurship (ICE2T 2014) en_US
dc.conference.year 2014 en_US


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