Overview shows digital twins and AI in freight rail transport, suggesting improved train supply control.
The study provides an overview of the experience in the development of digital and information man-agement systems for freight rail transportation to seaports. The areas of using artificial intelligence technologies in the tasks of controlling the supply of trains to port stations have been identified. The concept of using a digital twin of a railway section of a port railway is proposed in order to analyze the parameters of passing trains along the railway section. An experimental platform has been created that allows each train to track the speed characteristics of the passage along the section with manual and neural network control. A methodology of compilation a train supply plan based on existing au-tomated control systems and using artificial intelligence technologies is presented. The program is de-signed to create a preparatory database for training an artificial neural network in the task of con-trolling the supply of trains to port stations.
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Andreevna et al. (2025) studied this question.
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