Design of driver-interactive vehicle driving test and trainingsystem

Vehicles, one of the most basic needs of human life, are one of the basic building blocks of the transportation sector. Approximately 88% of traffic accidents are caused by driver-related errors and approximately 1.1% of accidents result in death. In this study, first of all, the conditions for correct and standard vehicle use in traffic were examined. Then, sensors and sensing systems that can control the driving control of frequently used vehicles in traffic have been investigated. As a result of the study, a complex driver control system simulation model is presented that can solve the decision problem with fuzzy and classical logic in the control of the vehicle driver. It is aimed to reduce human errors in traffic and to reduce statistical accident rates by teaching the driver to drive correctly, quickly and economically.