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The article discusses the urgent problem of upgrading non-public railway tracks through the introduction of automated loading and unloading control systems. The relevance of the study is due to the significant proportion of non-public tracks in the Russian railway infrastructure (29 % of the total length) and their constant increase, the growing volume of industrial production in the country and the need to improve the efficiency of transport services for enterprises and improve the efficiency of their use. More than 85 % of all freight traffic by rail starts and ends on non-public roads. The correctness of the service, organization and technology of the operation of the considered routes affects the operation of the entire transport network. The problem of the study lies in the fact that traditionally accepted methods of loading and unloading operations on non-public tracks do not provide the necessary efficiency of the transportation process, which leads to long downtime of rolling stock and increased operating costs for railway transport. The methods of system analysis, mathematical modeling and comparative analysis of statistical data are used in the work. Based on a study of international experience and domestic practice, it has been shown that the introduction of automated control systems can reduce the downtime of wagons by 25 - 30 % and reduce operating costs by 15 - 20 %. The article presents the definition of an automated loading and unloading management system as an integrated information management system that integrates hardware and software. A step-by-step methodology for system implementation has been developed, including seven consecutive stages from preliminary analysis to optimization and development. The proposed solutions take into account the specifics of Russian operating conditions and import substitution requirements.

A new approach to modeling the operations of railway stations and junctions using Petri nets is proposed. This method enables process analysis both analytically and through simulation, considering the topological features, operational technology of the station, and the structure of the transportation flow. The article provides a detailed examination of key properties of Petri nets, such as boundedness, liveness, and reachability, as well as methods for their analysis. These properties are applied to solve practical tasks, including resource optimization, increasing operational efficiency, and ensuring railway station safety. The proposed model identifies bottlenecks, forecasts potential operational difficulties, and develops measures to improve station performance. Various modifications of Petri nets, including timed, stochastic, and colored nets, are discussed. Each type offers distinct advantages for analyzing the temporal, probabilistic, and structural characteristics and parameters of station topology and transportation flow. The paper presents a model of the throat of a railway station’s reception yard for train passage, including its reachability tree of possible states. Analyzing the reachability tree identifies operational constraints and the sequences of events leading to these states. The model also predicts potential operational difficulties and shortages of maneuvering resources by applying an analytical method based on Petri net matrix analysis. This approach enables large systems, such as complex technical railway stations or junctions, to determine individual critical states that could lead to undesirable events without simulating all possible states.

This study focuses on the harmonized definition of sets of source data and criteria for creating an optimal container handling model at a terminal of type «dry port» served by rail and road transport. The model development process should consider priority in managing rail and road transport, balancing their interests and the cost-benefit relationship between cargo equipment and inactivity of vehicles and/or containers, depending on the technology and speed of cargo handling. The article noted that in the part of setting the task, many authors have limited approaches to the concept of «optimal terminal operating model» and the applied criteria of optimality. The study proposes a set of initial data intended to create an optimal work model, which includes data on the characteristics of the container flow, terminal, transport and handling mechanisms and processing. When creating the optimal terminal operation model, it is possible to evaluate the efficiency of the process in isolation or in a complex at once in several aspects depending on the purpose of the simulation. The valuation can be performed using a value criterion (cost of processing TEU), a criterion in terms of the natural value (maximum amount of processing to be realized, duration of processing) or an integral criterion (natural-cost value). The work has shown that the completeness of the sets of source data and the determination of calculation parameters in several possible units of measurement make the model adaptive for various modeling tasks and application of different criteria of optimality. For data that is dynamic by nature, the procedure for automated retrieval from existing information management systems significantly accelerates and simplifies calculation, allowing its use for operational planning and management purposes.

Efficient use of railway rolling stock is an important aspect of the transportation industry. The presence of wagons on access roads plays a significant role in the overall performance of logistics chains. The article discusses the main approaches to rationing the time spent by wagons, analyzes existing problems and suggests optimization techniques based on modern technological solutions. The purpose of this work is to develop a methodology for rationing the time spent by wagons on access roads, aimed at reducing downtime and increasing the speed of cargo turnover without compromising the quality of cargo handling. The research method includes an analysis of the current state of operation of access roads, identification of the main problems and limitations, as well as the application of the principles of queuing theory. The technological and interoperable components of the time spent by wagons on access roads, including unproductive downtime, are considered. Special attention is paid to the complexity of applying the analytical method due to the difficulties of classifying access roads, the need for accurate data collection and the approximation of the formulas used. The scope of the results includes planning and optimizing the operation of access roads of industrial enterprises, terminals and warehouse complexes integrated into multimodal supply chains. The proposed methodology makes it possible to take into account the specifics of technological operations, the technical characteristics of rolling stock and infrastructural constraints. The practical significance of the work lies in the possibility of reducing the downtime of wagons, improving the use of rolling stock and increasing the overall efficiency of the transport system. The implementation of the proposed approaches contributes to the adaptation of access roads to changes in external and internal conditions, as well as the integration of advanced technologies into logistics process management.

Incorporating passenger perspectives on the quality of ground public transport is paramount for enhancing urban mobility. This study champions the idea of making service quality perception the linchpin of urban transport policy formulation, thereby underscoring a user-centric methodology for cultivating sustainable transportation habits. By integrating passenger feedback, cities can effectively bolster user loyalty and entice new riders to embrace public transport. The research based on the importance of evaluating quality indicators within multimodal systems, which is essential for deciphering the spectrum of passenger sentiments. For urban transport to truly cater to citizen expectations, it is imperative to harmonize city authority ambitions, operator capabilities, and public desires, thereby creating sustainable urban ecosystems. At the heart of this approach lies a holistic planning system that encompasses operator-provided quality, regulator-set target quality, perceived quality, and desired quality. The study places emphasis on formalized assessment processes, acknowledging that passengers make rational choices, gravitating towards the most advantageous travel options. Integrating perceived quality indicators is invaluable for fostering informed management decision-making, which benefits both city administrations in strategic planning and transport companies in route and service optimization. Therefore, a comprehensive, user-centered quality assessment mechanism is pivotal for enhancing efficiency and satisfaction in urban transport, ultimately fostering a more sustainable and user-friendly urban environment.

The article considers methods for optimizing traffic flow management in large agglomerations by using clustering, routing and principles of queuing theory. The main study is devoted to the redistribution of resources by introducing a priority system in request processing. The influence of urgency, density and throughput of cargo flow on the system operation is analyzed and optimization algorithms are proposed to reduce waiting time, reduce costs and improve the efficiency of transport processes. The research methodology includes the use of a multi-channel queuing model to assess the impact of priority distribution of requests on the system throughput. Mathematical modeling, linear programming methods and NPV calculation for assessing economic efficiency are used to analyze the redistribution of resources. The results of the study show that the priority service system reduces the waiting time for urgent requests, but under high load it can increase the waiting time for less priority clients. The developed resource redistribution algorithm adapts the system to changes in flow intensity. The use of the proposed methods made it possible to reduce the average waiting time for priority requests by 1.5-2 times and reduce operating costs. The practical significance of the study lies in increasing the efficiency of transport processes due to the dynamic redistribution of resources. The implementation of the proposed methods can be used in logistics, courier services and transport companies to optimize the processing of requests, improve customer service and reduce costs.

Modern requirements for the organization of the transportation process depend on technological and infrastructural aspects. Traditional approaches to regulating car flows, including using methods to minimize empty runs of rolling stock, lead to the loss of profitable options for JSC Russian Railways to interact with customers in terms of organizing exports and imports with subsequent sale of these goods (products) in Russia. The technology of transporting coal in «Open Top» containers with back loading with imported cargo has advantages arising from foreign and domestic experience in implementing such transportation. This article focuses on the economic aspects of the technology under consideration, including reflecting the specifics and prospects for the development of container transportation of coal. A comparative analysis of economic indicators for several options for transporting coal is performed. For customers of railway transport and JSC Russian Railways, the feasibility of organizing freight transportation in «Open Top» containers with the formation of closed routes with back loading with imported cargo to an intermediate station is substantiated. It is noted that the savings of the closed ring route of coal and anhydrous calcium chloride in containers reach from 30% to 65% compared to the use of universal gondola cars. Given the current conditions of congestion of the railway infrastructure, the use of «Open Top» containers for the transportation of various goods is a key advantage of ring routes. This is important to consider when developing export-import relations with friendly countries.