Pengembangan Sistem Penentuan Durasi Lampu Hijau Pada Lampu Lalu Lintas Menggunakan Fuzzy Logic
Keywords:
Traffic Jam, Fuzzy Logic, Traffic Light System, Python, SkfuzzyAbstract
Pavement is one of the most important aspects of the economy and everyday life in a city, as it is always used by people in their activities. The appearance of obstacles on the road can cause losses to both the economy and the quality of life of local residents. One form of obstacle that often appears on roads is traffic jams. This traffic jam can be caused by many things, ranging from the road condition, the number of vehicles, to a less than optimal red light system. This is where the application of fuzzy logic in a dynamic traffic light system can help to solve the problem.
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Amrozi, M. R. F., & Raihan Pasha Isheka. (2021). Optimizing The Functional Performance of Road Network using Vulnerability Assessment to Cope with Unforeseen Road Incidents. Journal of the Civil Engineering Forum, 67–80. https://doi.org/10.22146/jcef.3598
Alhusinan, A. (2024). The relationship between traffic congestion and quality of life. Journal of Police and Legal Sciences, 15(1). https://doi.org/10.69672/3007-3529.1024
Komsiyah, S., & Desvania, E. (2021). Traffic Lights Analysis and Simulation Using Fuzzy Inference System of Mamdani on Three-Signaled Intersections. Procedia Computer Science, 179, 268–280. https://doi.org/10.1016/J.PROCS.2021.01.006
Mohanaselvi, S., & Shanpriya, B. (2019). Application of fuzzy logic to control traffic signals. AIP Conference Proceedings, 2112. https://doi.org/10.1063/1.5112230
Furqon, S., Santoso, I., Alvin, Y., & Soetrisno, A. (2020). PERANCANGAN SISTEM PENGONTROLAN LAMPU LALU LINTAS BERDASARKAN TINGKAT KEPADATAN KENDARAAN MENGGUNAKAN METODE FUZZY. In TRANSIENT (Vol. 9, Issue 1). https://ejournal3.undip.ac.id/index.php/transient
Eko Prasetiyo, E., Wahyunggoro, O., & Tinggi Teknologi Kedirgantaraan Yogyakarta, S. (2015). DESAIN LAMPU LALU LINTAS ADAPTIF DENGAN KENDALI LOGIKA FUZZY. In Jurnal Teknika STTKD (Vol. 2, Issue 2).
Thaker, S., & Nagori, V. (2018). Analysis of Fuzzification Process in Fuzzy Expert System. Procedia Computer Science, 132, 1308–1316. https://doi.org/10.1016/j.procs.2018.05.047
Kichu, L., & Alom Mazarbhuiya, F. (2021). FUZZY LOGIC AND ITS APPLICATION: A BRIEF REVIEW. In Journal of Applied and Fundamental Sciences JAFS|ISSN (Vol. 7, Issue 1). https://www.tutorialspoint.com/fuzzy
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