An intelligent system is considered for evaluating and predicting engine driver reliability is considered. This is based on predicting possible engine driver’s violations, depending on his previous experience and the formation of appropriate recommendations. The problem of predicting possible violations is solved using tools and machine learning algorithms. The proposed system makes it possible to predict violations that may be committed by a driver and to increase the reliability of electric stock safety systems by targeted management of the human factor.
展开▼
