Development of a Simulation Model of a Marshalling Yard

Abstract

Object: The purpose of this article is about using simulation modeling, and the choice of the simulation environment in the study of marshalling yards. Predicting the approach of trains to marshalling yards for different time periods is an essential tool for detailed planning of its operation. Methods: To research the operation of sorting stations, the simulation method was chosen. The method includes: agent-based modeling, system dynamics, discrete-event modeling. The process of arrival, processing and departure of trains at the marshalling yard can be considered as a discrete-event model. Its functionality is determined by the main factors: the probabilistic distribution of the times of arrival of requests and the duration of service; configuration of the service system; the number and productivity of service channels; the discipline of the queue. Findings: The result of the research was the formalization of the simulation model of the marshalling yard. Conclusions: The simulation model allows to do: - build further work plans for all station resources; - establish dependencies and patterns; - predict the state of the sorting system to mitigate or eliminate operational difficulties.