Traffic light control using fuzzy logic / Firdawati Mohamed … [et al.]

Mohamed, Firdswati and Abdul Rafar, Nurbaity and Ariffin, Nur Syafiqah Edora and Mohd Hanafi, & Nur Syazzura Hanim (2017) Traffic light control using fuzzy logic / Firdawati Mohamed … [et al.]. In: Melaka International Intellectual Exposition (MIIEX 2007). Division of Research and Industry Linkages, Alor Gajah, Melaka.

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Abstract

The number of cars at a traffic light keep increasing especially during peak hours and this situation can cause traffic congestion. In order to overcome this problem, Fuzzy Logic Controller System is used in this study to reduce total waiting time of vehicles at the traffic light by extending the green light phase. By this, traffic congestion can be reduced. In the study, we consider the number of cars at queue side and arrival side as our input and the extension time of green light as output. The extension time of green light is obtained by using MATLAB (Fuzzy Logic Mamdani Toolbox). Simulation results shown the time (in seconds) of green light that should be extend from the original time, vary according to the number of cars available at the traffic light. Methods of Centroid, Bisection and Smallest of Maximum discussed to compare the extension time of green light phase. The graphs in MATLAB Toolbox, shown that the extension times using Centroid and Bisector method has a better performance compared to Smallest of Maximum (SOM) method. However, Centroid method was chosen since it is the famous method and quite natural from the point of view of common sense.

Metadata

Item Type: Book Section
Creators:
Creators
Email
Mohamed, Firdswati
UNSPECIFIED
Abdul Rafar, Nurbaity
UNSPECIFIED
Ariffin, Nur Syafiqah Edora
UNSPECIFIED
Mohd Hanafi, & Nur Syazzura Hanim
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Patron
Mahat, Sabariah
UNSPECIFIED
Advisor
Othman, Rani Diana
UNSPECIFIED
Advisor
Harun, Norazman
UNSPECIFIED
Advisor
Ismail, Shafinar
UNSPECIFIED
Subjects: H Social Sciences > HE Transportation and Communications > Traffic engineering. Roads and highways. Streets
Q Science > QA Mathematics > Fuzzy logic
Divisions: Universiti Teknologi MARA, Melaka > Bahagian Penyelidikan dan Jaringan Industri, UiTM Melaka
Item ID: 47920
Uncontrolled Keywords: Traffic light; Fuzzy Logic Controller System; MATLAB
URI: https://ir.uitm.edu.my/id/eprint/47920

ID Number

47920

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