FUZZY RULE-BASED SYSTEM UNTUK MONITORING KEMACETAN LALU LINTAS MENGGUNAKAN TEKNOLOGI RADIO FREQUENCY IDENTIFICATION

SEPTYANTO, Arif Wicaksono and Suryono, Suryono and Rosyida, Isnaini (2018) FUZZY RULE-BASED SYSTEM UNTUK MONITORING KEMACETAN LALU LINTAS MENGGUNAKAN TEKNOLOGI RADIO FREQUENCY IDENTIFICATION. Masters thesis, School of Postgraduate.

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Abstract

Penelitian ini mengimplementasikan fuzzy rule-based system untuk monitoring kemacetan lalu lintas menggunakan teknologi radio frequency identification. Beberapa metode telah diusulkan untuk menyelesaikan perhitungan kepadatan akan tetapi tidak akurat karena tidak memadukan variabel utama kecepatan rata-rata dan persentase tingkat hunian jalan. Penelitian ini mengusulkan sistem penghitung kemacetan lalu lintas yang bersifat fuzzy menggunakan teknologi RFID untuk mengidentifikasi kendaraan. Informasi yang didapat berupa kecepatan kendaraan dan luas kendaraan yang digunakan sebagai masukan untuk diproses menggunakan algoritma fuzzy. Percobaan pada sistem menggunakan data kecepatan rata-rata kendaraan 8,27 m/detik pada panjang pengukuran 100 m, luas jalan 800 m2 dan total luas kendaraan dalam area monitoring 472,318 m2 dengan persentase tingkat hunian jalan 59,04%. Proses fuzzifikasi dengan tahap awal fungsi keanggotaan diperoleh nilai untuk tingkat kecepatan rata-rata low 0,173, middle 0,769 dan high 0,0 dan hunian jalan low 0,0, middle 0,699 dan high 0,181. Untuk membandingkan tingkat kemacetan berdasarkan kecepatan rata-rata dan tingkat hunian jalan digunakan rule-based untuk kecepatan rata-rata “middle” dan tingkat hunian “middle” didapat status kemacetan lalu lintas “light-heavy”. Dari hasil tersebut dapat mencerminkan situasi kemacetan lalu lintas berdasarkan variabel utama tingkat kecepatan rata-rata dan tingkat hunian jalan. Kata Kunci: Kemacetan Lalu Lintas, Radio Frequency Identification, Fuzzy Logic, Rule-Based Expert System This research implements a fuzzy rule-based system for traffic congestion monitoring using radio frequency identification technology. Several methods have been proposed to solve density calculations but they are not accurate because they do not incorporate the main variables of mean velocity and the percentage of occupancy rates. This research proposes a fuzzy traffic congestion counting system using RFID technology to identify vehicles. Information obtained in the form of vehicle speed and the area of the vehicle used as input for processing using the fuzzy algorithm. Experiments on the system used an average vehicle speed data of 8.27 m/sec at a measurement length of 100 m, a road area of 800 m2 and the total area of the vehicle in the monitoring area of 472.318 m2 with a percentage of road occupancy rate of 59.04%. Fuzzification process with initial stages of membership function obtained a value for the average low speed 0,173, middle 0,769 and high 0,0 and low road occupancy 0,0, middle 0,699 and high 0,181. To compare the congestion rate based on the average speed and the occupancy rate of roads used rule-based for the average speed of "middle" and the occupancy rate "middle" obtained the status of traffic congestion "light-heavy". From these results can reflect the situation of traffic congestion based on the main variables of average speed and an occupancy rate of the road. Keywords: Traffic Congestion, Radio Frequency Identification, Fuzzy Logic, Rule- Based Expert System

Item Type:Thesis (Masters)
Subjects:T Technology > Computer engineering. Embedded system. Network. Softwares. Robotics. Multimedia
Divisions:School of Postgraduate > Master Program in Information System
ID Code:66142
Deposited By:Mrs Ekana Perpus Pasca
Deposited On:26 Oct 2018 09:55
Last Modified:26 Oct 2018 09:55

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