Development of approaches to the use of information technology to improve the management of objects and processes of the railway passenger complex

Abstract

Development of approaches to the use of information technology to improve the management of objects and processes of the railway passenger complex

Shinkaruk A.S., Savchuk R.R., Rogov A.A., Petrov R.A., Druzhinin G.E., Pleshakov M.R.

Incoming article date: 12.10.2025

This article examines the problem of control and management in transport systems using the example of passenger rail rolling stock operation processes using information technology and automation tools. The main proposed methods for improving the efficiency of vehicle operation management are the use of digital modeling of transport complex objects and processes and the automation of probabilistic-statistical analysis of data on the technical and operational characteristics of the system. The objective of the study is to improve the operational efficiency, reliability, and safety of passenger rail rolling stock by developing digital twins of the rolling stock and digital models of its operation processes. The main objectives of the study are to develop approaches to automating methods of  analysis of the flow of data on the operation and technical condition of passenger rolling stock, as well as to develop a concept for applying digital modeling to solve current problems of passenger rail transport. The research hypothesis is based on the assumption of the effectiveness of applying new information technologies to solving practical problems of rolling stock operation management. The use of digital models of rolling stock units and the digitalization of the repair process are considered. The paper proposes the use of automated Pareto analysis methods for data on technical failures of railcars and least-squares modeling of distribution and density functions for passenger wagon operating indicators as continuous random variables. It is demonstrated that digital modeling of transport system objects and processes using big data analysis enables the improvement of transportation processes. General recommendations are provided for the use of information tools to improve the management of passenger rolling stock operations in rail transport.

Keywords: information technologies, digital modeling, digital twin, automated control, system analysis, process approach, reliability, rolling stock operation, maintenance and repair, monitoring systems