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For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version).The work was supported by the Russian Fundamental Research Foundation, project 17-20-01133 ofi_m_ Russian Railways. ABSTRACT The article considers the issues of continuous monitoring of the situation at the marshalling yard and detection of the possibility of occurrence of dangerous situations. An approach is proposed for constructing an automated intellectual subsystem for analyzing and timely forecasting the critical utilization of railway sorting units. The solution of the problem is proposed with the help of network communication technologies due to the use of information from automated data collection systems and the neural network decision support subsystem. Keywords: transport, intellectual system, system analysis, forecasting of critical situations, simulation modeling, sorting node, neural network, information, communication technologies. |
