The article considers the issues of rating the structural divisions of secondary vocational education of state railway universities of Roszheldor. Ratings allow developing competition between educational organizations, which helps to improve the quality of education.

Changes in the criteria for rating assessment in 2025 are presented compared to the positions of 2024 by means of graphic presentation of information. Visual presentation of information can be more effective compared to the usual tabular and text form, since it makes it possible to highlight the most significant information guidelines. The pragmatic purpose of this method of presenting information is to obtain a “wow effect” that quickly evokes the desired response from the listener/reader.

The main measures taken at the Siberian College of Transport and Construction of the Irkutsk State Transport University to ensure the indicators of rating assessment are indicated.

A report is presented on the event held by the Federal State Budgetary Institution of Educational and instructional center for railway transportation — the award ceremony for the winners of the review-competition “About Feats, about Valor, about Glory”, dedicated to the 80th anniversary of the Victory in the Great Patriotic War of 1941–1945. The history of the contest is revealed, information about the categories and participants, and the results of the event is provided. The results of the review competition show that it contributes to increasing patriotism, as well as affects the interest of students of secondary vocational education in the future profession and its history.

One of the key problems in training personnel in the vocational education system is building interaction between employers and educational organizations of higher and secondary vocational education. Professional standards have become a significant tool here — a formalized description of the qualification structure of the industry and requirements for individual jobs.

An example of a study of this problem under the auspices of the Association of Self-Regulatory Organizations “Regional Associations of Machine and Automation Service” is considered. An algorithm is proposed that can be used by industry associations of employers and professional qualifications councils for the design and implementation of effective activities for mutual support and joint work with universities and colleges, as well as the transmission of requests and proposals to government bodies in the fi eld of education.

An analysis of statistical data on the dynamics and volume of training in higher and secondary vocational education organizations in the fi eld of lifting structures/lifting and transport mechanisms is given as a basis for building an industry strategy to support vocational education. The results of the survey of the network of specialized departments of universities and a number of colleges implementing programs of the enlarged group of specialties 23.00.00 “Engineering and technologies of land transport” are also considered and analyzed.

The creation of a clear idea of possible educational trajectories for training specialists based on professional standards is proposed as the first step. The study of the practice of implementing educational programs and establishing an influence on their content is the second. Building interaction with colleges and universities is the third step towards conscious work of the industry to develop human resources.

The purpose of the study is to formulate for industry associations the procedure for building a strategy for supporting personnel training in the vocational education system through the definition of target educational programs and the creation of a network of educational organizations.

The subject of the study is formalized concepts and objects of the labor system and the vocational education system, such as professional standards, qualifications, areas of training, specialties and professions, as well as statistical data on the volume of training and the results of a survey of educational organizations.

The rapid development of medical science and healthcare practice, the digital transformation of medicine, the need to improve the quality of medical care, and the ongoing modernization of education have been the basis for scientific research and the introduction of the accreditation procedure for healthcare professionals since 2016. The article examines the stages, features of training graduates of medical educational organizations for primary accreditation in order to provide personnel for the healthcare industry, problems and the role of accreditation in the formation of professional competencies of middle-level specialists.

The issues of simulation technologies are touched upon — training based on simulation, using modern modeling systems — medical phantoms, simulators and mannequins, the main task of which is to create clinical situations as close as possible to real ones. Simulation training is considered as a kind of modern technology for training highly qualified specialists aimed at developing professional competence among specialists in the medical field. The main advantages of the simulation approach of college education are identified: the development and improvement of practical skills, the formation of communication skills, principles and skills of teamwork.

Over the past three years, the preparation of accreditation sites at the Orenburg Medical College, a structural unit of the Orenburg Institute of Railways, a branch of the Volga State University of Railways (hereinafter referred to as OMK OrIPS, a branch of PrivGUPS) has undergone significant changes. The features of the preparation of accreditation sites for accreditation, as well as the results of the primary accreditation of graduates for 3 years at Orenburg Medical College, are presented. The reasons why students of the 4th year actively refuse to undergo accreditation are outlined. The causes of this phenomenon are diverse and require careful analysis.

The organization of team education of students in the lessons in the process of mastering professional modules in the specialty 09.02.01 “Computer systems and complexes” is considered. The relevance of the topic is due to the need to develop students’ skills to effectively interact and work in a team, while it should be borne in mind that senior students strive to match the image of their future profession and are well aware of the professional and personal significance of team interaction.

The applied gaming technologies are described that can simulate a professional task, as well as the main stages of team formation and the problems that arise in this process. A formula for the success of a company (team) according to the Adizes methodology is given, which tries to explain the difficulties of team building. Various methods for evaluating the effectiveness of student team interaction are considered, some methods can also be used to evaluate the activities of a specialist or teacher. To solve professional problems in the classroom, business games (simulation, operational, role-playing) and project activities are more suitable.

To assess leadership qualities of students an Adizes code is most applicable; it can also be used by a teacher for introspection. It is recommended to assess the effectiveness of team interaction on a scale from 0 to 3, where 0 is set for the absence of teamwork, 3 — for excellent teamwork.

The relevance of the article is determined by the radical changes that are currently taking place in the entire system of secondary vocational education. Increasing the emphasis on the practical training of students, increasing the volume of educational and industrial practices with the mandatory implementation of the envisaged work at real production facilities, postponing the beginning of the formation of professional competencies of students for the period of studying general educational disciplines by conducting binary classes, joint work the development of materials for classes by teachers of general education disciplines and teachers of professional modules of the educational program of secondary vocational education, the maximum approximation of the content of the intermediate certification of students to their future profession and, finally, the conduct of the state final certification in the form of a demonstration exam — all these innovations require new approaches to the educational process from teachers, the introduction of changes in the existing order, the use of new forms and methods of conducting classes and close interaction with enterprises of the industry.

The article presents and analyzes the experience of conducting a demonstration exam in the Omsk Technical School of Railway Transport — a structural unit of secondary vocational education of the Federal State Budgetary Educational Institution of Higher Education of Omsk State Transport University. The features of the organization of the demonstration exam, the results achieved by students of the three specialties in which it was conducted are considered, the important role of practical training of students and the role of Russian Railways in organizing and conducting the demonstration exam are noted.

A model for forecasting the state of a complex transport system is being developed, based on the use of an information criterion for assessing the effectiveness of actions to restructure it. The measure of the amount of information introduced into a complex logistics transport system to eliminate the uncertainty of behavior, both of the system itself and of individual events, is taken as a parameter of the information criterion. At the same time, the developed model ensures the unity of efficiency measures in logistics transport systems, since it is based on methods for forecasting the value of the influence of factor space on the process under study in order to improve the efficiency of the system as a whole.

In this article, the conceptual provisions for assessing the occupancy rate of a container train are formulated. Given the expected increase in containerization volumes to 16–20 % in 2035, additional demand for container transportation is projected and will objectively require an answer to the challenge: to ensure the correct assessment of wagon loading, cargo placement and cargo distribution between wagons, taking into account the rational occupancy of container trains, as well as automation of business processes to reduce human error in calculating and processing the accompanying and commercial documentation. A parametric apparatus and a new indicator for evaluating the effectiveness of container train formation, the ideality indicator, are described. The goal is to develop a parametric model of a container train, taking into account optimal occupancy.

Methods used in the research: analytical, logistic, general theory of systems, parameterization. The indicator of ideality proposed in the study reflects the level of occupancy of a container train in conjunction with a number of important parameters in the organization of transportation, which makes it possible to effectively organize and plan logistics chains of container flows. The results of the study can be used to optimize the system of planning and forming container trains. Based on the results of the study, it should be assumed that monitoring the class of a container train can significantly improve the efficiency of logistics operations, reduce delivery time and provide a high level of service for shippers. In the future, it is necessary to develop and differentiate classes of container trains in response to the growing market demands for speed and quality of transportation.

The article examines the application of artificial intelligence (AI) in warehouse process management and its impact on the economic efficiency of logistics companies. The main areas of AI utilization, including demand forecasting, inventory management, robotics, and computer vision technologies, are analyzed. Special attention is paid to the experience of logistics companies such as DHL, Walmart, and X5 Group, which have successfully integrated AI into their operations. The article also explores examples of AI use in seaports, such as the Port of Los Angeles, where technologies have enhanced cargo flow management.

The article presents the results of a survey conducted among logistics industry professionals, which identified the level of AI adoption, key areas of application, and expected benefits. It discusses both the advantages, such as increased accuracy and reduced processing time, and the challenges, including implementation costs and the shortage of qualified specialists. The role of AI in reducing operating costs and accelerating data processing in large-scale logistics chains is emphasized. As a result, the application of AI in logistics, while requiring significant investment, is transforming traditional management practices and leading to more efficient and sustainable operations.

We considered the issue, definitions and assessments of the effectiveness of innovation management in transport and logistics activities using the example of an aviation company. We applied methods of system analysis of safety management in aviation activities. We conducted a study on the problems of implementing innovation management in the activities of airlines. We proposed a methodology for assessing risk management in aviation activities.

The practical significance lies in the presented methodology for assessing and determining the effectiveness of innovation management based on blockchain technologies in the aviation industry. Understanding the largest problems in the world and the aviation industry, as well as managing innovation using blockchain technologies in the future will allow airlines to gain a competitive advantage.

The 50th World Tunnelling Congress reflects the state of the art in underground construction research, including artificial intelligence based on digitalisation.

The review is based on the published proceedings of the Congress. The subject of artificial intelligence is reflected in a separate section.

The set of reports presented at the Congress can be divided into the following several areas: operation of tunnel boring machines; study of ground and structure deformations, monitoring; training methods; digital methods of design, construction and operation management.

An intelligent decision support system for the maintenance of structural defects in tunnels using knowledge graph and deep learning is proposed, and an experimental study of the application of hyperspectral images to assess the compressive strength of concrete is presented. Prediction of surrounding rock quality based on an incomplete data set from multiple sources and the application of simple Bayesian network trees is described. The design, model selection and uncertainty quantification of soil conditioning for mechanised tunnel sinking using machine learning are discussed. An energy-efficient tunnel ventilation control algorithm combining the application of dynamic neural network and fuzzy control is recommended. Special attention is paid to the performance evaluation of tunnel boring machines and defect detection of operating underground facilities. In general, the scope of the presented research in the fi eld of artificial intelligence (machine learning) as applied to the development of underground space is relatively narrow and leaves many aspects uncovered.

The article highlights the development prospects and possible changes in traction rolling stock technologies in the coming years, as well as the problems that may arise as a result of advances in this area.

Rail transport is a key aspect of the state economy. It is difficult to imagine a modern economic system without the railway industry. The presence of our own rolling stock production creates a solid foundation for the economy of any country.

In Russia, rail transport became the basis for the industrial rise of the country in the late 19th century. It was the development of railway networks that contributed to a breakthrough in the economy, and also ensured the geopolitical interests of the country. This type of transport still plays an important role in the domestic economy. The modern national economy and its development prospects, the place of the state in the system of international relations largely depend on its functioning.

Due to the noticeable increase in prices for energy resources, global manufacturers of traction rolling stock are forced to look for ways to optimize operating costs.

The purpose of the study is to consider the need not only to optimally organize existing technologies, but also to adopt innovative solutions that will improve the position of rail transport.

All over the world, highly automated vehicles with different levels of autonomy and scope of application are being actively tested. In particular, unmanned vehicles have begun to be tested in urban public transport. Now developers are actively analyzing errors and problems that arise during the testing of automated vehicles, debugging software modules for vehicle control, improving cameras, lidars and other devices responsible for traffic safety. In addition to the development of autonomy and transport safety, it is also worth paying attention to the development of traffic management tools. At the moment, ordinary traffic control centers operate in Russia, where human dispatchers manage the process of organizing transportation. Of the urban public transport, trams, city trains and taxis are currently being tested in unmanned modes, but in the near future, other types of transport will also be in automated operation. This article will examine the problems of operating automated vehicles, current systems of assistance in organizing the movement of urban transport, and will also propose an automated system for organizing the movement of public transport, which will autonomously, without human intervention, organize traffic, leveling the difficulties of the process of operating highly automated vehicles.

This article presents a review of unique documents and exhibition projects reflecting the research activities of the oldest scientific and technical museum in the country.

The purpose of the study is to tell about unknown facts in the military chronicle and the heroism of representatives of the Soviet transport industry through the personal stories of the heroes of the bloodiest war of the 20th century. The painstaking work of the museum’s research staff , focused on human destinies, made it possible to identify the extraordinary events that befell engineer Pavel Alekseevich Tyumenev, who was captured by the Germans on the first day of the war, to rethink documents, rewrite the biography of a legendary figure — Ivan Georgievich Zubkov, whose contribution during the Battle of Leningrad was fateful, and most importantly — to restore the chain of events and preserve the memory of pilot Vladimir Dmitrievich Nikitov. All those in question did not think about honors, did not talk about resounding victories, did not chase titles and awards. These are probably the real heroes. It is important that their stories bring us closer to the general history of the Great Patriotic War, to millions of similar fates of Soviet people who survived a war that must not be forgotten.

The Saratov Technical College of Railway Transport, a branch of the Volga State University of Railway Transport, solemnly celebrated the 125th anniversary of the renowned branch educational institution of the Volga region. Maxim Garanin, Rector of the University, congratulated the staff of the branch on the anniversary and presented awards to teachers and students.

In 2025, the Novoaltaisk Branch of the Siberian State Transport University (STU) celebrates 65 years since the beginning of its educational activities.

The Novoaltaisk branch of STU trains mid-level specialists for railway transport enterprises, has its own educational and material base, which allows them to gain practical skills in conditions as close to real ones as possible.

Students of the Novoaltaisk branch of STU actively participate in competitions and championships of professional skills, which increases the prestige and importance of the chosen specialties and trains a competitive specialist for railway transport enterprises.

Currently, 600 students are studying full-time and part-time at the Novoaltaisk branch of STU, and high employment rates for graduates of the branch in their specialties have been achieved.

The stages of development of each of the four specialties of the Novosibirsk College of Railway Transport are revealed, information is provided on the construction of workshops, a training ground and a sports complex. The work of students under the guidance of teachers in creative and sports areas is noted, the patriotic component is highlighted — search teams. The importance of cooperation between the college and the enterprises of the West Siberian Railway is noted: industrial practice; 100 % distribution of graduates. Highly qualified teaching staff provides an opportunity for students to show high results both in educational activities and in scientific and practical conferences, competitions, festivals. It is said with pride about the graduates of the Novosibirsk College of Railway Transport who occupy leadership positions. With special trepidation and respect, it is told about the founder and fi rst director of the college — Yuri Konstantinovich Tkachuk, an honorary worker of transport of the Russian Federation, an honorary railway worker, an honorary worker of secondary vocational education.