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When modeling the traction power supply systems, reflecting the processes of interaction of electric traction power supply and mobile electrical loads (electric and electric) is one of the elements of movement imitation organization trains in space. The effect of moving trains in simulations (MI) in MatLab on schedule at the analyzed site traffic necessitates sequential switching models of electric rolling stock (EPS) to the traction network, so that its effect is realized by moving the site. However, in this case, there really is not the processes taking place in reality. This is due to the realization of the simulation method of discrete movements, characterized in that the CSE, one located on a cell - the traction network model at one time, thereafter jumps to another. While EPS previous cell is switched off and switched on the next cell. Thus there does not exist in reality switching processes that distort the results of the studies. Methods to reduce the negative consequences of such distortions are addressed in this article.

To improve the accuracy of the diagnosis of the technical condition of rolling stock, it is necessary to develop new algorithms for the digital processing of signals coming from sensors at the time of the passage of the axes of wheeled pairs of wagon carts during the uniform movement of the train on the straight section of the railway track. The use of modern mathematical application software packages to model digital-based data processing algorithms reduces the cost and time of developing automated systems to diagnose the technical condition of the rolling stock of railways. To assess the accuracy of the fixation by the magneto-induction sensor of the moment of passage of wheel pairs axly, an asthigmatic model is proposed, allowing to investigate not only the energy properties of the sensor, but also the shape of the output signal, taking into account the real dimensions of its magnetic core. The developed model allows you to classify the pore. The developed model allows to classify the order of astigmatism model magnetoinduction sensor based on a set of discrete virtual sensors

In this article the tasks of simulation of flows on the railways are discussed. The main purpose of this work is to create a new simulation technology such a complex system as the rail network. Scientific novelty consists in the application of a combination of agent-based and discrete-event approaches in a given subject area. During the conducted study the models of behavior of agents were created, the problematic situation was highlighted and discrete-event part of the model was developed for this situation. The main categories of regular and emergency situations are analyzed, a list of situations for modelling are created. Choices for removal emergency situations were discussed, an algorithm for their processing (discrete-event part of the model) was chosen. An illustration of the study is a simulation model of the railway section of the West-Siberian railway with the possibility of rebuilding the train schedule, which depend on the addition of regular or emergency situation. As a result of the simulation, output such as a traffic graph and an information table are generated. There are plans to use new technology for creating model of "transport hub”.