Horobchenko O. The Development of scientific bases of "Locomotive Crew -Train" ergatic system functioning

Object of research - process control train by locomotive crews. The studies were carried out using the methods of the theory of probability, theory of fuzzy sets and fuzzy probabilistic graphs, theory of hybrid neural networks, the theory of expert assessments, risk theory, theory of artificial intelligence, namely dynamic Bayesian networks and dynamic network of decision-making, the logic of predicates of first order, theory of pattern recognition. The study obtained new evidence-based methods of determination of criterion of an assessment of the impact of human factors on the quality of the functioning ergatic system "locomotive crew train",assess the usefulness of the solutions of the locomotive system of decision support, the definition of complexity of an emergency situation while operating the trains, the resulting model of the management activities of the locomotive engineer as a fuzzy probabilistic graph. Modified statistical method of determining the parameters of traffic safety, the method of determining the likelihood of traffic accidents by introducing a tiered structure factors, the theoretical foundations of fuzzy classifier systems for locomotive, the concept of using intelligent systems in the management of the locomotive, the theoretical basis for determining the information load of the locomotive crew, the method of constructing scenarios and schemas situations while operating a train. The area of application is the operational fleet of locomotives, service of a locomotive economy, enterprises in the development and design of control systems for locomotives.