Optimization of Traffic Light Control Using Fuzzy Logic Sugeno Method

Abstract

Congestion is one of the big problems around the world, especially for big cities. Intersections are the scene of congestion because the lane is the meeting point of two or more roads which has a major influence on the smooth flow of vehicles on the road network. This congestion occurs due to various factors, one of which is the statistical traffic light duration, which does not match traffic conditions. Based on this, there needs to be a development in the timing of a more adaptive green light. This study describes the design of a traffic light controller using the Sugeno method fuzzy logic. This study aims to design a green light duration calculation by applying fuzzy logic that results in adaptive traffic light duration at intersections, by entering the density of each intersection path, which is divided into 4 inputs, namely regulated lane density, opposing lane density I, and opposite lane density. II, the density of the opposite lane III, with the aim of the system being able to produce a duration that is in accordance with the current traffic situation with an output in the form of a green light duration on the regulated lane.

Traffic Control Prediction Design Based on Fuzzy Logic and Lyapunov Approaches to Improve the Performance of Road Intersection

“…Here, we propose a form of a traffic light controller using the Takagi-Sugeno-Kang method fuzzy logic. The research points to produce a green light continuance calculation using fuzzy logic [21].…”

Optimalisasi Kualitas Pencahayaan dalam Suatu Ruangan Berdasarkan pada Keseimbangan Kebutuhan Manusia, Efisiensi Energi, dan Pertimbangan Arsitektur dengan Menggunakan Metode Fuzzy Logic Control

“…Metode ini dikenalkan oleh Takagi -Sugeno Kang pada tahun pada tahun 1985. Model Sugeno menggunakan fungsi keanggotaan Singleton, yaitu fungsi keanggotaan yang memiliki derajat keanggotaan 1 pada satu nilai crisp dan 0 pada nilai crisp lainnya [4]. Metode fuzzy logic Sugeno sering dikenal dengan nama metode Max -Min.…”

Intelligent Traffic Light Controller using Fuzzy Logic and Image Processing

“…This process is repeated for each road, and the total entries for the first and second roads are the fuzzy logic inputs. The fuzzy Controller is designed to estimate the traffic time according to the number of cars at each road irrespective of the fixed time [1]. The simulation result shows an excellent result, and the program can be designed and runon microcontroller of PLC and/or any other controller.…”