Simulation models reflecting the operation of transportation systems are supposed to utilize an appropriate realization of decision-making procedures. The formation or selection of adequate modelling approaches and methodologies has to be done in this context. Attention is paid to a specific operational problem related to the assignment of platform tracks to delayed arriving trains within simulation models of passenger railway stations. The application of a twolayered artificial neural network as a decision-making support associated with the mentioned assignment problem was investigated. The neural network reached very encouraging results with regard to the studied problem, which enables its profitable utilization. It means, in fact, that the quality of relevant simulation models rises and the consequent credibility of corresponding simulation studies for railway companies should be increased.Simulation models of passenger railway stations include quite a wide range of decision-making tasks, which deal mainly with the following.JRRT268

This paper deals with selected problems encountered in the real-time operation of a passenger railway station. Delays to incoming trains can negate a valid timetable and track assignment plan. In such situations the dispatcher has to flexibly solve problems related to potential train routing conflicts. This paper models the dispatcher's decision-making process using a mathematical programming approach. Inputs to the mathematical programming model reflect potential delays to incoming trains. Outputs from the model concentrate mainly on solving the following problems: first, which platform track is assigned to an arriving train, and second, how long connecting trains are allowed to wait for the delayed incoming train. The objective function applies a multi-criteria approach with two goals: to reduce the influence of the delays on departing trains (i.e. to minimise the deviations from the valid timetable), and, at the same time, to minimise the inconvenience caused to passengers. The proposed model can be used to support the dispatching control of real-time traffic or as a part of a railway station simulation model.

The contribution pays attention to assessing a selected method related to multicriterial evaluations of variants. That method is exploited for supporting automatized decision-making processes related to special operational situations, which emerge within rail traffic simulators. The relevant case study resolves an optimisation task related to minimizations of total increments of train delays within passenger railway stations. Different optimisation approaches are combined and exploited, and their consequences are investigated by means of numerous simulation experiments. The outcomes of those experiments are processed, and recommendations for the use of appropriate decision-making supports in rail simulators are formulated.

The paper is focused on research of railway infrastructure capacity assessment by computer simulation method. Specific goal of this paper is to discuss tools and possibilities for assessment, which segments of railway line can be divided into spatial segments for improving of capacity. This division can be done by using line blocks or more advanced systems, so called moving blocks, like ETCS L3 or interlocking and control systems based on on-line location of trains and controlling the gap between trains. The presumption is that equipment of a line segment between stations with such system costs considerable funds. Proposed method in this paper can help how to identify which segments have priority to be equipped or not. Simulation and transport technology points of view are combined in the paper.

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