The graduate will master the problems of general classical prognostic models based on mathematical statistics (methods of descriptive statistics, statistical theory of estimation, testing of statistical hypotheses, regression and correlation analysis and time series analysis) as well as problems of prognostic models based on unconventional approaches (methods of operational analysis, neural networks). From the field of special prognostic models designed for the needs of transport systems, attention will be focused on modern trends in the development of gravitational models, methods of specific momentum etc.