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Marvin Apriyadi
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Optimalisasi Lampu Lalu Lintas dengan Fuzzy Logic Adhitya Yoga Yudanto; Marvin Apriyadi; Kevin Sanjaya
Ultimatics : Jurnal Teknik Informatika Vol 5 No 2 (2013): Ultimatics: Jurnal Ilmu Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (858.376 KB) | DOI: 10.31937/ti.v5i2.322

Abstract

The traffic lights problem is already commonly found in large cities. The traffic lights are supposed to control the flow of the road, but sometimes causes a congestion. This happens because the distribution of the time are all the same for all lines, without seeing the condition of the density of each lane. There’s one effort that can be done to overcome this problem, is to create a traffic light control system. With this system, the congestion that occurs around the traffic lights can be reduced. This system is using fuzzy logic. Fuzzy logic is one of computer science that studies about the value of truth that worth a lot. For example, a air conditioning system control subway Sendai in Japan. As for making a traffic light control system, the author using Fuzzy Inference System (FIS) that already exist in the application of MATLAB R2013a with Mamdani method. Index Terms —fuzzy logic, traffic lights, MATLAB.
Co-Authors Adhitya Yoga Yudanto Kevin Sanjaya