The digest presents the key areas of scientific and technological development of NIIAS JSC for the first half of 2025, including the implementation of intelligent control systems in railway transport, automation of the processes of fastening rolling stock, research into the reliability of structural elements under cyclic loads, integration of digital technologies (LTE) into the MALS system, as well as technical and economic aspects of robotization of industry. Special attention will be paid to risk-oriented approaches, interdisciplinary cooperation and the development of methods for evaluating the effectiveness of innovative solutions.

This scientific article discusses the methods of analysis and synthesis of intelligent transport systems, their architectures and algorithms for restoring performance. The methods of analyzing intelligent transport systems are described in detail. In this study, the authors consider various approaches to assessing the current state of transport systems, including statistical analysis, modeling, and simulation. Special attention is paid to methods of identifying problem areas and potential bottlenecks in the operation of intelligent transport systems, which allows timely measures to be taken to eliminate and improve them. The issues of synthesis of intelligent transport systems are considered, various architectural solutions that can be applied in the development and implementation of intelligent transport systems are presented. The authors consider both centralized and decentralized architectures, analyzing their advantages and disadvantages. Special attention is paid to the issues of scalability and adaptability of systems, which allows them to function effectively in conditions of changing traffic flows and external factors.

The article provides an overview of the key projects presented at the international exhibition of transport technologies InnoTrans, held in Berlin from 24 to 27 September 2024. The forum featured cutting-edge developments in the railway industry, including electrification, digitalization, sustainable development, and artificial intelligence (AI). AI has confirmed its status as a key driver of the digital transformation of the railway industry. Leading market players presented comprehensive AI solutions aimed at improving the safety, efficiency and environmental friendliness of transport systems. A special emphasis was placed on predictive analytics. Significant progress is being made in the field of automated infrastructure monitoring. Special attention is paid to the issues of data standardization and compatibility of solutions. Robotic systems are beginning to play an important role in ensuring the sustainability of rail transport. The key directions of development of the railway industry in the field of automation, robotics and technical vision in the near and medium term are discussed.

The paper analyzes data from train passage control tests at the «Virtual Railway» education and laboratory complex. It presents the results of several business game simulations, identifies statistical characteristics of delays, and estimates the probability density distribution. Even when selecting “good” results for the control, additional data processing is necessary to create a training sample, the paper notes.

The article describes approaches to solving the problems of selecting, optimizing, storing and processing data on annual, monthly and operational planning of repair work in possession, coordinating possession, as well as analyzing their actual implementation. The methods chosen for implementing the software product, their advantages and practical implementation are described in a sequential manner. It is explained how the specific goals of the reporting subsystem and the requirements for data organization affect their architecture, structure, management and analysis.

The article considers the measured parameters and conditions that affect the validity of measurements of the rolling stock control system, which includes vision and high-precision positioning tools. These high-tech technical means replace the cognitive abilities of the driver and serve to solve the problems of improving the level of safety of train traffic, in particular, unmanned rolling stock. The parameters affecting the movement of an autonomous transportation object and its control in various information situations are considered, taking into account the conditions of application in railway transportation. Internal and external parameters are singled out. Meteorological optical visibility (MOR) for different scenarios of vision system application is proposed. Depending on the optical visibility, the calculation of the detection range of obstacle objects on railroad tracks is proposed. To solve the problem of determining the current coordinates of a transportation object moving along a known trajectory on the basis of cartographic information, a method is proposed, which formed the basis of the invention.

Currently, the subsystem of meteorological monitoring is being studied and researched both in the Russian Federation and in foreign countries. The possibilities of interaction of the weather monitoring subsystem are being actively explored not only with conventional cars, but also with highly automated and unmanned vehicles. A lot of work is underway to identify best practices for determining the optimal performance of weather monitoring subsystems both as part of ITS and for the maintenance of highways. The article provides a justification for the requirements for weather monitoring subsystems as part of ITS.