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All Journal TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan
Ujianto, Septrian
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Computer Science & IT Control & Systems Engineering

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Traffic Light Berbasis Logika Fuzzy pada Kasus Persimpangan Dalam Kota dengan Satu Jalur Kepadatan yang Dinamik Ujianto, Septrian
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 10 No. 1 (2022): TELEKONTRAN vol 10 no 1 April 2022
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v10i1.4572

Abstract

The purpose of this research is designing a traffic light control system based on fuzzy logic on intersection with one lane that have dynamic density models in MATLAB and comparing averaged waiting time between fuzzy logic method, adaptive method, webster method and automated density method. The method used in this research is fuzzy logic method with inputs in the form of congestion sensor and real-time clock and also output in the form of duration of green light of each roads. The result of averaged waiting time in this system based on fuzzy logic method, adaptive method, webster method and automated density are 3,13647 s; 3,3 s; 6,43 s and 3,72 s respectively. Based on the result of the experiment, we can conclude that a traffic light control based on fuzzy logic have a lower averaged waiting time when compared to other methods with condition 1, 3, 6 and 7 have a lower waiting time because the duration in that condition is much lower than other conditions.
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