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.

翻译：交通事故已成为全世界造成死亡的八大主要原因,其中有许多事故是由于疲劳造成的司机不注意或缺乏关注。各种因素造成司机疲劳。本文考虑了显示司机疲劳的所有可测量数据,即驾驶时车辆可测量数据以及司机身体和生理数据中显示的数据。三个主要因素又进一步细分为较小的细节。例如,车辆数据包括从方向盘角度、斜角、车道位置以及行驶中车辆速度和加速速度获得的值。驾驶疲劳症的肿瘤学知识和规则将纳入智能系统,以便检测出危险疲劳症的第一征兆,向司机发出警告通知。这项工作是为了帮助安全地开车。