Penerapan Fuzzy Logic untuk Sistem Pengendali Lalu Lintas

Authors

DOI:

https://doi.org/10.32493/informatika.v6i3.11575

Keywords:

fuzzy logic control, photoelectrik sensore, arduino mega 2560

Abstract

Fuzzy logic control is one application that has been able to provide a sulition for system traffic problem on higway. The funcition of the fuzzy logic control the speed of the vehicle. A traffic light system that is controlled by using a fuzzy logic control application to adjust trafic indicators to reduce congestion problem on the higway, because it takes too long to wait for the trafic light to trun green. To control traffic light, it requires tools called photoelectrik sensors at every intersection and an arduino mega 2560 microcontroller to run a fuzzy system into a programming language that can be accepted by hardware. And researching using a simulation of four intersection there must be at least 30 vehicles with a time of 60 seconds. The test results have proven changes in vehicles density at crossroads when the green lightis on.

References

Abdurrahman, Ginanjar. 2011. Penerapan metode Tsukamoto (Logika Fuzzy) Dalam Sistem Pendukung Keputusan Untuk Menentukan Jumlah Produksi Barang Berdasarkan Data Persediaan dan Jumlah Permintaan. Jurnal Universitas Negeri Yogyakarta.

Adhitya Yoga Yudanto and others, ‘Optimalisasi Lampu Lalu Lintas Dengan Fuzzy Logic’, Ultimatics, V.2 (2013), 58–62.

Bai, Ying, and Dali Wang. “Fundamentals of fuzzy logic control-fuzzy set, fuzzy rules and defuzifications.†Advanced fuzzy logic technologies in industrial applications. Spinger, London, 2006. 17-36.

Larsen, P. Martin. “Industrial applications of fuzzy logic control.†International journal of Man-Machine Studies 12.1 (1980): 3-10.

LIN, Chin-Teng, et al. Neural-network-based fuzzy logic control and decision system. IEEE Transactions on computers, 1991, 40. 12: 1320-13336.

Novan Parmonangan Simanjuntak, ‘Aplikasi Fuzzy Logic Controller Pada Pengontrolan Lampu Lalu Lintas’, 2012.

Nugroho, Emmanuel Agung. “Sistem pengendali lampu lalu lintas berbasis logika fuzzy.†Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer 8.1 (2017): 75-84.

R Ahmat T Aufik and others, ‘Rancang Bangun Simulator Kendali Lampu Lalu Lintas Dengan Logika Fuzzy’, Seminar, 2008.RAHMAT TAUFIK (2008), 1–26.

Sonia Dian Maniswari, Angga Rusdinar and Bedy Purnama, ‘Smart Traffic Light Menggunakan Image Processing Dan Metode Fuzzy Logic’, 2015, 5.

Yudanto, Adhitya Yoga, Marvin Apriyadi, and Kevin Sanjaya. “optimalisasi Lampu Lalu Lintas dengan Fuzzy Logic. “Ultimatics: Jumal Teknik Informaika 5.2 (2013): 58-62.

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Published

2021-09-30