Please use this identifier to cite or link to this item: http://ir.unikl.edu.my/jspui/handle/123456789/9747
metadata.conference.dc.title: Adaptive Fuzzy Logic Traffic Light Management System
metadata.conference.dc.contributor.*: I. Adam
A. Wahab
M. Yaakop
A. Abdul Salam
Z.Zaharudin
UniKL BMI
metadata.conference.dc.subject: Fuzzy logic
Flexibility
Traffic light
metadata.conference.dc.date.issued: 31-Mar-2015
metadata.conference.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.
metadata.conference.dc.description: UniKL BMI
metadata.conference.dc.identifier.uri: 10.1109/ICE2T.2014.7006274
http://localhost/xmlui/handle/123456789/9747
metadata.conference.dc.conference.name: International Conference on Engineering Technology and Technopreneurship (ICE2T 2014)
metadata.conference.dc.conference.year: 2014
Appears in Collections:Conference Papers



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