The paper addresses the problem of the technical diagnostics of hump control devices, such as wagon retarders. The current analytical methods of monitoring and technical diagnostics of wagon retarder conditions are reviewed. The factors that are used in the existing diagnostics systems are analyzed and new factors to be taken into account, including specific pathway peculiarities, wagon group lengths, breaking curve styles, initial wagon group speed and environment conditions, are suggested. The suggested set of factors are characterized from the point of regression analysis. The replacement of some continuous factors with lexical ones are suggested. Decision tree-based classificators are suggested to perform the classification of hump retarder conditions. The decision tree-based classificators can be built with the means of Data Mining on a training set. An improved method of building decision trees is suggested. It’s advantage over the existing algorithms is shown on evaluation sets.

Keywords: hump yard, wagon retarders, regression, decision trees, classification, data mining, multi-factor analysis, soft computations

Digital twins of railway stations are necessary for planning work and taking the most effective management actions. An important factor is the compliance of the planned time costs with the actual ones. One of the tasks that are difficult to formalize at railway stations is the process of holding the rolling stock. This is due to the fact that the holding time depends on the human factor and the holding rolling stock. To create an automated station controlled by a digital twin, it is necessary to develop an automated holding system. One of the tasks in developing such a system is the problem of device location. This problem can be formulated as follows: it is necessary to place the minimum allowable number of holding devices in the controlled area in such a way that reliable holding is provided for any configuration of the rolling stock. As a tool for solving this problem, the most effective will be the use of methods of genetic algorithms. In this article, the authors consider the relevance of this study and the relevance of automating the holding of rolling stock.

Keywords: digital railway station, automation, brake shoes, UTS-380, DUZS, traffic safety.