The Southern Territorial Administration of Roszheldor was established in 2004 during the reform of the Russian Ministry of Railways. Today, its territory covers 20 constituent entities of the Russian Federation (over 700,000 km²) with four railways (14,500 km of operational length), 20 seaports, and 10 border railway checkpoints. Key subordinate enterprises are the Crimean Railway and Novorossiya Railways. The Administration is involved in infrastructure development, increasing freight and passenger traffic, and training personnel in collaboration with specialized universities (including the Russian State University of Railway Transport and the Donetsk Institute of Railway Transport). Its activities contribute to the integration of new regions and the strengthening of the railway network in southern Russia. The Administration actively collaborates with educational institutions to train railway transport personnel, collaborating with the Russian State University of Railway Transport (and its branches), the Donetsk Institute of Railway Transport, and the Debaltseve College of Transport Infrastructure. This collaboration includes the exchange of curricula and equipment, access to electronic libraries, practice-oriented training, and the digital transformation of education. This ensures the availability of personnel for the industry, taking into account the needs of the regions, and the development of the transport and logistics infrastructure of southern Russia.

Introduction: The presented article summarizes the results of several research papers devoted to predicting the development of education under the influence of the introduction of AI and digitalization tools, as well as problems of continuity at various levels of education. The research was based on the scientific hypothesis that the development of education under the influence of digitalization is a paradoxical and contradictory process, combining various, sometimes multidirectional trends.

Materials and methods: in the course of the research, methods of comparative analysis of domestic and foreign predictive developments, analysis of the practice of implementing AI tools in education, and a method for modeling various development scenarios were used.

Results: paradoxical phenomena (cyber paradoxes) have been identified in the processes of educational development under the influence of chaotic and purposeful implementation of AI tools: artificial intelligent systems designed to “unload” human cognitive activity are effective provided the subject has higher levels of development of thinking abilities and education; interaction with artificial intelligence requires from a person not only knowledge, skills and competencies, but also personal qualities that ensure ethical, aesthetic, cognitive, etc. features of working with AI tools; spontaneous processes of mastering and using AI tools prevail in the processes of introducing AI into education, which is the source of many uncontrolled risks; the didactic need for contact forms of the educational process increases in proportion to the expansion of the use of AI tools; digitalization and the introduction of AI tools into education requires teachers to master both digital and non-digital competencies, methodological, organizational and communicative.

Conclusions: the research results are applicable in the process of developing management solutions implemented during projects at various levels aimed at improving the effectiveness of the educational process expected from the introduction of AI tools.

This article discusses the topical issue of the introduction of a dual education system in the railway industry, where the mentor of the enterprise plays a special role. The functions and tasks of a mentor are analyzed in detail, emphasizing his key role in the successful functioning of dual training.

An enterprise mentor is an experienced specialist who directly transfers practical knowledge and skills to students, teaching them at real production facilities. He shares his professional experience, demonstrating the right working methods and introducing students to the peculiarities of production in the railway industry. In addition, the mentor integrates young professionals into the corporate culture of the enterprise, introduces them to its values and traditions, helping them adapt to the working environment. The article emphasizes that effective mentoring is the key to the successful implementation of dual education, which allows training highly qualified personnel for the railway industry with the necessary general and professional competencies. The article also draws attention to the importance of close cooperation between educational organizations and railway enterprises in organizing practical training of students. This includes the joint development of educational materials, coordination of the educational process schedule and provision of high-quality practical training in accordance with the requirements of the railway industry.

This article examines an innovative model for delivering an integrated lesson for students of all years studying «Railway Construction». The proposed format combines theoretical knowledge, practical skills, and industrial experience within a single lesson, meeting the requirements of the Federal State Educational Standard for Secondary Vocational Education and promoting the development of professional competencies.

This integrated approach perfectly aligns with the requirements of the Federal State Educational Standard for Secondary Vocational Education (FGOS SVE), emphasizing the need for comprehensive competency development. It fosters the formation of professional skills, such as analyzing technical tasks, teamwork, and solving practical problems, which is particularly crucial in the dynamic field of railway construction. As a result, students acquire not only deep theoretical foundations but also confidence in applying knowledge in practice, enhancing their competitiveness in the labor market. The model also boosts motivation for learning, making lessons more engaging and oriented toward future careers. Overall, implementing such innovations can significantly improve the quality of specialist training, contributing to the modernization of the vocational education system in Russia.

Aim. Development of a program for engineering education to solve problems of transport industry facilities adaptation to climate change.

Object and methods. The object of the study is the training of engineering personnel for the transport industry, capable of assessing the dynamics of climate change, as well as developing adaptation and mitigation measures based on an interdisciplinary approach. The method is the analysis of the influence of climate risk factors on transport infrastructure facilities, the consequences of loss of stability of the transport network and measures for adaptation and mitigation.

Results. As an additional professional program for training personnel for the transport industry, the program “Engineering solutions for adaptation to climate change” is proposed for students interested in developing engineering skills focused on adaptation and increasing the resilience of transport infrastructure facilities to the conditions of a changing climate. It can be based on a scientifically based understanding of climate change, the impact of climate risk factors and strategies for adaptation to climate change and increasing resilience. Obtaining additional knowledge will be based on the knowledge obtained during the basic training.

Conclusion. The introduction of an additional professional training program for the transport industry “Engineering solutions for adaptation to climate change” will expand students’ knowledge of climate change and its impact on the objects of their future professional activity, as well as form a teaching group with competencies in the field of analyzing the impact of climate risk factors on transport infrastructure objects and developing measures for their adaptation and mitigation. Expanding the additional professional program to transport and engineering universities can contribute to the creation and maintenance of the university’s reputation as a leader in the development of scientifically 

This article is devoted to the study of teamwork and its impact on the efficiency of the organization. It analyzes the interaction of employees of JSC «Russian Railways» at different levels: from ordinary employees to management, their roles in the team. The model of individual differences, the rules of team formation, as well as the rules of management and interaction between management and employees are considered.

The study of the influence of personnel interaction on the effectiveness of the organization will be carried out using the analysis of literary sources, as well as practical examples. The purpose of this work is to identify the key factors that contribute to the harmonious functioning of the team and the overall increase in the efficiency of the organization.

Based on the analysis of personnel interaction in JSC «Russian Railways», the factors that contribute to the increase in the efficiency of the organization have been identified: the presence of a clear organizational structure and distribution of roles and responsibilities; an effective communication system that allows employees to exchange information and coordinate their actions; a benevolent atmosphere in the team that contributes to cooperation and mutual assistance.

The work shows that effective personnel interaction is a key factor in increasing the efficiency of the organization. The study formulated practical recommendations for the formation and management of teams, which can be used by managers to increase the efficiency of the organization’s activities. The work will be useful for company managers, HR specialists, as well as students and postgraduates studying management and organizational behavior who are interested in increasing the efficiency of their organization.

The article describes the importance of the denotation graph method in the educational process in the study of the discipline “History”, the role of this graphical model in the formation of universal learning activities and meta-subject competencies, the variability of the use of the denotation graph in different forms of lessons: in the lesson of generalization and systematization of knowledge, in the lesson of learning new material, in the lesson of knowledge improvement, skills and their application in various forms of organizing students’ learning activities: frontal, individual, and group. The published work experience is based on the idea of the dependence of the learning outcome on the structure of the educational material and the organization of cognitive activity, the nature of mental operations of students. The intensification of learning is possible on the basis of graphical models of educational material through the creation of conditions for the mental development of all students with any individual data, through the development of a system of educational tasks of different levels of complexity. The technology is based on search–based educational and cognitive activity, promotes the qualitative assimilation of educational material, forms motivational and emotional spheres. The use of graphical models is associated with the use of information and computer technologies, which also bring variety to educational work. The purposeful analysis of information, given by the denotation graph, helps students form a holistic, comprehensive, reasoned view of the problem. The article reveals the methodological basis for the use of graphical models: P.J. Galperin’s theory of the phased formation of mental actions, the doctrine of A.N. Leontiev’s activity, and L.S. Vygotsky’s doctrine of the “zone of proximal development”. The theoretical concepts of these scientists are also given attention in this article.

The article considers an example of using the denotation graph in a history lesson when studying the topic “Socio-political development of the Russian Federation in 1992-1993.” How this technique can be used to develop the student’s intellectual abilities, help him understand the material and learn the connection between different concepts.

The use of denotation graphs in the lesson is especially relevant in connection with the requirements of the new Federal State Educational Standards, since it allows students to simultaneously offer a fairly large amount of material and form the necessary universal learning activities.

Introduction: The railway system is one of the popular modes of transport today because of its punctuality and convenience. At the same time, the demand in the railway system is characterized by spatial and temporal imbalance. Therefore, an urgent task today is to optimize approaches to train scheduling and maintenance planning of the railway network. The aim of the article is to develop recommendations for improving the methodology of normative train scheduling.

Materials and methods: analysis and synthesis, mathematical statistics, simulation modelling, methods of the theory of organization of operational work of railways.

Results: in the process of research the basic model of integer programming for making up the normative train schedule is formalized. The decomposition of related factors for the problem of making up the normative train schedule is presented. The algorithm for optimization scheduling of the railway network is substantiated.

Conclusions: the algorithm presented in the paper allows to provide the possibility of flexible adjustment of the normative train schedule in accordance with fluctuations in passenger travel demand and maintenance tasks, which will rationalize resource consumption, avoid downtime and achieve sustainable development.

The article proposes a formalized method for assessing the noise immunity of the Automatic Locomotive Signaling (ALSN) system under the influence of electromagnetic interference. The core of the noise immunity assessment model is based on a probabilistic-temporal method of statistical hypotheses, i.e., hypotheses about the probability distribution law. Within this framework, the decision regarding the presence of a useful ALSN signal in the mixture of signal and noise components is reduced to comparing the likelihood ratio with a given parametric threshold criterion, which is defined as the level of the useful signal that becomes indistinguishable from external noise by the receiving equipment. Furthermore, the classical theory of statistical hypotheses is adapted to account for the influence of a priori uncertainty from additive harmonic and multiplicative impulse noise, as well as the structural scheme of predetection processing of the input signal. As a result, an analytical expression has been synthesized, enabling the evaluation of the probability of receiving an ALSN coded signal under conditions of unpredictable and intense electromagnetic interference. It also allows for a comprehensive analysis of the impact of asymmetry in the locomotive signaling receiver path on the system’s noise immunity. Based on the obtained results, it is possible to substantiate conceptual directions and the necessity of technical measures aimed at ensuring the precision characteristics of locomotive receiving coils. This will enhance the reliability of railway rolling stock during the modernization and design of advanced train interval control systems.

This article presents a brief overview of innovations in warehouse logistics abroad. Key developmental trends are highlighted, such as digitalization, automation, and robotics, based on the concept of the 4th Industrial Revolution (Industrie 4.0). The pace of implementation of these trends is lagging behind the modern requirements. This is due to the geopolitical situation, turbulence in global markets, rising energy costs, shortage of skilled labour and other factors. Some of the highlighted projects provide data on use of artificial intelligence, cloud technologies, the Internet of Things, and other modern technologies and tools. Some of the challenges and shortcomings in the development of warehouse and industrial logistics abroad are highlighted.

The paper demonstrates the prospects for applying artificial intelligence in construction. However, despite the significant potential of artificial intelligence for optimising planning, resource allocation, and risk management, its implementation is associated with serious information-related risks. The study examines key groups of external information required in transport infrastructure design (historical and archival data, regulatory standards, environmental indicators, socio-economic metrics, etc.) and identifies typical challenges in processing such data using artificial intelligence. These include insufficient or poor-quality training data, excessive data noise, lack of contextual understanding in artificial intelligence models, the phenomenon of hallucinations (generation of untrustworthy information). Measures to mitigate information risks are proposed, including data quality control, expert verification of results, staff training, clear formulation of model objectives, improvement of training data quality, use of data templates, limitation of response ranges. Particular attention is paid to legal aspects, including the new national standard GOST R 71718-2024, which regulates the use of artificial intelligence in construction. In conclusion, the paper outlines the prospects for the evolution artificial intelligence’s role in design — from a tool for automatic decision-making to an assistant, and further to an autonomous agent capable of coordinating multidisciplinary projects and optimising resource use.

Purpose: to assess the prospects for the development of rail transport in a large metropolis (based on the materials of St. Petersburg. The relevance of the study is due to the fact that in modern conditions of development of urban transport systems, the demands of citizens — residents of the metropolis for the quality of transportation by urban public transport, in particular, for mobility (speed), comfort, safety, and environmental cleanliness, are increasing. These requirements determine the growing propensity of the population of the megalopolis to use public transport services, which ensures a gradual trend of reducing the use of motor transport, reducing trips by private car transport and, as a result, reducing exhaust emissions, negative effects on the ecology of the megalopolis, reducing gas pollution and noise levels from transport in large cities. Methods: statistical systematization, observation, analysis of statistical data sets, selective observation, analysis of normative legal acts, descriptive analysis of reporting data of transport organizations. Results: a rating assessment of the use and demand for individual routes of rail ground transport in St. Petersburg metropolis was carried out, recommendations were given on updating and modernizing the tram route network in St. Petersburg, a system of indicators was proposed that allow implementing a model for managing public transport services by ground rail electric transport, application points were determined efforts to ensure the growth of the importance of investors in the future. Practical results: effective measures for the modernization and renewal of the transport network for a large metropolis, coupled with improved indicators of public transport services, are proposed.

The objective of this study was to diagnose the condition of internal combustion engines (ICEs) in traction and special-purpose rolling stock by monitoring the thermal field parameters of diesel engine components and assemblies. The authors analyzed and summarized the experience of diagnosing ICEs using passive television thermal monitoring of heavily loaded ICE components by comparing the thermograms of a healthy and faulty engine.

A multifactorial functional-parametric diagnostic model was developed to analyze the impact of key ICE faults (carbon deposits on combustion chamber walls, coking of exhaust cylinder ports, etc.) on the engine’s operating heat map.

Technological solutions, recommendations, and a promising method for monitoring the technical condition of ICEs are proposed, enabling comprehensive technical diagnostics of diesel engines in rolling stock and specialpurpose track machines based on thermal field parameters.

This article describes representatives of three generations of a dynasty of teachers who have worked since 1966 and are currently working at the Nizhny Novgorod Railway Technical School. It focuses on three generations of the family: the founder of the dynasty, Nikolai Aleksandrovich Nikulin, his daughter, Galina Nikolaevna Nikulina (Akimova), and his granddaughter, Natalya Yuryevna Akimova (Godunova). The article explores the professional path of each member of the dynasty and their contribution to the development of the technical school: the creation of an electronics laboratory, the modernization of teaching laboratories, methodological work, and the leadership of clubs and scientific conferences. The continuity of professional traditions and the dynasty’s influence on the training of specialists for the railway industry are emphasized. The connection between the educational process and practical training on the Gorky Railway is demonstrated.

This article is dedicated to the memory of the outstanding scientist and educator Yuri Osharovich Pazoisky (1941–2026). It covers key stages of his professional career: from the beginning of his career at MIIT after graduating from Lomonosov Moscow State University to his leadership of the department and the founding of the scientific school “Organization of Passenger Transportation on Rail Transport.” It describes Pazoisky’s contribution to the development of education and science in railway transport: the modernization of educational facilities (creation of mock-up complexes and computer labs for station simulation), the training of thousands of engineers and researchers (under his supervision, 12 candidate and three doctoral dissertations were defended), and the development of fundamental research papers and textbooks. Particular attention is given to his innovative projects, patents, and role in organizing international conferences. The scientist’s influence on the development of the industry through the training of specialists for JSC Russian Railways and related organizations is emphasized. The article is a tribute to a teacher, innovator, and man whose legacy lives on in his students and realized ideas.

This article examines the feasibility of developing patriotic education in educational institutions. The specifics of developing and implementing patriotic education within the library information center of an educational institution are highlighted. The article also examines the socio-civic and spiritual development of students within the institution.

Examples of library events aimed at promoting historical continuity, the memory of the Great Patriotic War, respect for state symbols and values, and fostering an atmosphere of respect among students for history and the people who embody it are provided.