THE IMPLEMENTATION OF THE FUZZY TSUKAMOTO METHOD IN A YOLO-BASED TRAFFIC CONTROL SYSTEM

MAULANA, ILHAM BAYU (2025) THE IMPLEMENTATION OF THE FUZZY TSUKAMOTO METHOD IN A YOLO-BASED TRAFFIC CONTROL SYSTEM. Tugas Akhir thesis, Informatics.

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Abstract

Traffic Light Controllers (APILL) are electronic devices used to regulate the flow of pedestrians and/or vehicles at intersections or road segments. Without these systems, traffic flow becomes disorganized, increasing the likelihood of accidents. Most traffic lights in Indonesia use fixed-time systems that switch lights based on predetermined intervals, regardless of actual traffic conditions. This limitation can be addressed by implementing a system that measures vehicle queue lengths and dynamically adjusts green light durations based on real-time traffic density. This research proposes the development of such a system using a combination of Fuzzy Logic, OpenCV, You Only Look Once (YOLO) for object detection, Arduino microcontrollers, and solar panels as power sources. The research findings indicate that the system was successfully developed and functioned correctly. The YOLO-based object detection performed well, though it had limitations during nighttime conditions. The Fuzzy Logic system operated as intended, dynamically adjusting traffic light durations. The hardware components, including power supply and signal lights, also functioned properly. Out of 70 tests conducted, 69 were successfully executed as expected, indicating high system reliability and effectiveness. Keywords: Traffic Control System, Fuzzy Logic, Object Detection, Arduino.

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Sains Dan Teknologi > S1 Informatika
Depositing User: Kaprodi S1 Informatika UTY
Date Deposited: 17 Jul 2025 02:16
Last Modified: 17 Jul 2025 02:16
URI: http://eprints.uty.ac.id/id/eprint/18199

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