Özet:

The approach has been proposed to form automated technology in order to actively monitor the transportation of dangerous goods by railroad. The reported approach to the dynamic description of trains' status has been developed on the basis of modifying the language of trains' status in the form of abstract modeling of operational processes. This will ensure the fastest implementation of decision-making algorithms by the operational personnel at the powerful support from the automated complex of dispatching control. It has been determined that the maximum effect of the implementation of the proposed approach could be obtained by synthesizing it with a system of active monitoring of moving units' traffic. Modeling an arbitrary case involving a train, which can occur in real operational circumstances, has made it possible to predict the violation of a normative train schedule and to simulate the cognitive process of decision-making by a train dispatcher to rationally resolve a complicated train situation under changing operational conditions while accounting for a significant number of factors. Modifying the language of train-related cases could adequately produce the spatial-time description of train situations along a simulated section, whereby it is the closest to the language of the dispatching personnel. The advantages of the proposed approach are that it makes it possible to form a database and a knowledge base as quickly as possible in order to form a working model of the system of dispatching control. A given system has been developed on the basis of the imitation of the cognitive activity of the human operator, thereby providing an opportunity to deepen the implementation of artificial intelligence systems on railroads. These innovations could help achieve the maximum level of safety in the transportation of dangerous goods while simultaneously and unconditionally reducing operating costs and gaining higher profits. Author Biographies Oleksandr Lavrukhin, Ukrainian State University of Railway Transport Feierbakha sq., 7, Kharkiv, Ukraine, 61050 Doctor of Technical Sciences, Professor, Head of Department Department of Management of Freight and Commercial Work

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