Road accidents have become the eight leading cause of death all over the
world. Lots of these accidents are due to a driver's inattention or lack of
focus, due to fatigue. Various factors cause driver's fatigue. This paper
considers all the measureable data that manifest driver's fatigue, namely those
manifested in the vehicle measureable data while driving as well as the
driver's physical and physiological data. Each of the three main factors are
further subdivided into smaller details. For example, the vehicle's data is
composed of the values obtained from the steering wheel's angle, yaw angle, the
position on the lane, and the speed and acceleration of the vehicle while
moving. Ontological knowledge and rules for driver fatigue detection are to be
integrated into an intelligent system so that on the first sign of dangerous
level of fatigue is detected, a warning notification is sent to the driver.
This work is intended to contribute to safe road driving.

该研究考虑了导致驾驶员疲劳的各种因素，并使用车辆监测数据和驾驶员的生理数据，将本体知识和疲劳检测规则集成到智能系统中，一旦检测到危险疲劳水平的第一个迹象，就会向驾驶员发送警告通知，以促进道路安全驾驶。