Development of an algorithm for the operation of railway station infrastructure in unconventional situations

Abstract

The expansion of intelligent transport systems is a notable trend in the current stage of transport infrastructure development. The use of intelligent transport systems will enhance the quality of transport process management and ensure strict compliance with safety requirements in the transportation process. The Russian Federation’s transport strategy up to 2030 envisages the development of intelligent transport systems, which is one of the directions for forming a unified transport space in Russia based on balanced development of an efficient transport infrastructure. The introduction of innovative informational and educational technologies is one of the promising and relevant issues in the context of the digital transformation of the transport complex. The situational information and training model developed in this study will enable operational management personnel to minimize the time required to find the necessary route, prepare it, and reduce or completely avoid train delays at entry signals, thereby enhancing train traffic safety. This article presents an algorithm of measures that will enable the development of specific practical solutions for improving the technology of railway station operations in the event of failures in existing railway automation and telemechanics systems. The use of a situational information and training model “Management of switches in the route” in conjunction with the developed “Route Tables” adapted for various extra-class railway stations will allow eliminating errors made by station duty officers when preparing routes and reducing the time spent on these operations..