The article deals with the problem of optimal control of the train (OKT) from the standpoint of the modern theory of automatic control. This problem is relevant for many years, but to date it has not been completely solved, due to the large number of random factors affecting the nature of the train, as well as the development in recent years of high-speed and high-speed, as well as heavy and long-range traffic. The mathematical model of train movement and formulation of the OKT problem are presented, the classification of known methods of its solution is offered. A simulation model in Matlab/Simulink environment is developed, which allows to study different models and control laws. A metaheuristic algorithm for optimization of train operating modes using a simulation model implemented in the form of a software module in Matlab is proposed. The results of computational experiments confirming the convergence of the algorithm are presented.

Keywords: optimal control, autodriving, mathematical model, simulation model, metaheuristic algorithm

The article considers the actual problem of analysis of the effectiveness of the driver’s control activity (DCA) and the development of methods for the assessment of their professional competences (PC), using as inputs the data from on-board recorders of parameters of movement and specialized train the ACS as an alternative to currently used tools such as skills tests, technology assessment, test "Business profile of the Railways", the questionnaire method 90 degrees. The proposed method of calculation of integral assessment of PC based of analysis of the effectiveness of DCA using methods of artificial intelligence, particularly fuzzy logic as a technology of knowledge processing to build a fuzzy logic system based on the fuzzy production rules, which allows to formalize criteria for the evaluation of DCA (compliance with schedule, energy efficiency, compliance and safety rules) using the linguistic variables and calculate the integral assessment of the quality of DCA using the procedure for fuzzy inference. This will improve the accuracy and reliability of estimates of professional competences in relation to the technological process of train operation, identify the most effective techniques and skills of train driving, including manual and automated modes, interaction of the driver with the system of auto-driving, etc., improve the software and algorithmic support of auto-driving systems and autopilot in the framework of the project "Digital Railway".

Keywords: locomotive crew, machinist, locomotive, registrar of traffic parameters, competence approach, assessment of professional competencies, artificial intelligence, fuzzy logic