Design of Fuzzy Logic Supported Car Driver Control System

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.