Being one of the most basic needs of human life, vehicles are one of the basic building blocks of the transportation sector. Since automobiles are highly preferred, they cause intensity in daily traffic and the need for human control increases accordingly. Approximately 88% of traffic accidents occur due to driver-related errors and approximately 1.1% of the accidents are mortal. Although there are products and studies aimed to prevent human defects technologically, such as semi-autonomous, autonomous driving systems, and driving safety components, studies to improve people's driving abilities are rare. In this study, first of all, the conditions regarding proper and correct vehicle drive in traffic are examined. Then, the sensor and sensor systems that can control the conditions of frequently used cars are investigated. Fuzzy logic decision making model of the sensors and subsystems used in vehicles were designed and simulated in order to develop a car driver control system (CDCS) used to provide a safety control the vehicle in traffic. As a result of the study, the conceptual structure of a system that can solve decision making problem with fuzzy logic in controlling the car driver and a complex fuzzy logic model are presented. It is aimed to decrease the human defects in traffic, to teach driver to drive vehicle correctly, rapidly and economic.
This study is a part of the thesis project managed in Intelligent Transformation Systems and Technologies Department, Institute of Natural Sciences, Bandırma Onyedi Eylül University.
Birincil Dil | İngilizce |
---|---|
Bölüm | Research Articles |
Yazarlar | |
Yayımlanma Tarihi | 30 Eylül 2021 |
Gönderilme Tarihi | 24 Mart 2021 |
Kabul Tarihi | 30 Haziran 2021 |
Yayımlandığı Sayı | Yıl 2021 Cilt: 5 Sayı: 3 |
International Journal of Automotive Science and Technology (IJASTECH) is published by Society of Automotive Engineers Turkey