INTELLECTUAL MODEL FORMATION OF RAILWAY STATION WORK DURING THE TRAIN OPERATION EXECUTION

O. V. Lavrukhin

doi:10.15802/stp2015/38239

Authors

O. V. Lavrukhin Ukrainian State Academy of Railway Transport, Ukraine https://orcid.org/0000-0003-1302-4960

DOI:

https://doi.org/10.15802/stp2015/38239

Keywords:

railway station, train operation, artificial neural network, the station duty officer, intellectual system

Abstract

Purpose. The aim of this research work is to develop an intelligent technology for determination of the optimal route of freight trains administration on the basis of the technical and technological parameters. This will allow receiving the operational informed decisions by the station duty officer regarding to the train operation execution within the railway station. Metodology. The main elements of the research are the technical and technological parameters of the train station during the train operation. The methods of neural networks in order to form the self-teaching automated system were put in the basis of the generated model of train operation execution. Findings. The presented model of train operation execution at the railway station is realized on the basis of artificial neural networks using learning algorithm with a «teacher» in Matlab environment. The Matlab is also used for the immediate implementation of the intelligent automated control system of the train operation designed for the integration into the automated workplace of the duty station officer. The developed system is also useful to integrate on workplace of the traffic controller. This proposal is viable in case of the availability of centralized traffic control on the separate section of railway track. Originality. The model of train station operation during the train operation execution with elements of artificial intelligence was formed. It allows providing informed decisions to the station duty officer concerning a choice of rational and a safe option of reception and non-stop run of the trains with the ability of self-learning and adaptation to changing conditions. This condition is achieved by the principles of the neural network functioning. Practical value. The model of the intelligent system management of the process control for determining the optimal route receptionfor different categories of trains was formed.In the operational mode it offers the possibility to the station duty officer or the traffic controller to determine the appropriate park (receiving, sending, transit one) and efficient reception way or handling one on condition of train safety control. The cardinal difference of this technology from the existing ones is the possibility to adapt the model to changing conditions. It means that in case of a situation that had not been encountered previously the model will calculate the most efficient way of train operation execution.

Author Biography

O. V. Lavrukhin, Ukrainian State Academy of Railway Transport

Dep. «Management of Cargo and Commercial work»

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