Increase of efficiency of railway junction with application of intelligent model module of railway station
Journal Title: Metallurgical and Mining Industry - Year 2017, Vol 9, Issue 4
Abstract
The given work is directed on formation of intellectual technology of determination of a rational way of receiving of freight trains on the basis of techno-technological parameters. The technical and technological parameters of the railway station when performing train and shunting operation are taken as the main elements of the study. The basis for the generated model for the implementation of train work is the methods of neural networks that allow the formation of a self-learning automated system. The presented model of railway train operation is implemented on the basis of artificial neural networks using the learning algorithm “with the teacher” in the Matlab environment. This proposal is advisable when there is a dispatching centralization on a certain section of the railway line. As a result of the research, a model of the technology of operation of the railway station in the performance of train work with elements of artificial intelligence is formed. The model allows providing informed decisions to the station duty officer regarding the choice of a rational and safe variant of reception and non-stop train handling with the possibility of self-learning and adaptation to changing conditions. This condition is achieved due to the principles of the neural network functioning. The model of an intelligent control system for the process of determining the rational way for the receiving of trains of various categories in the operational mode in the case of a situation that has not arisen before will calculate the most rational variant of the performance of train work.
Authors and Affiliations
V. V. Petrushov, E. R. Zaruba, L. I. Poganyuk, E. O. Rutskaya, M. S. Martynov
Keywords
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