Mass Service System Research Articles

SOFTWARE ARCHITECTURE SYSTEM DESIGN FOR THE MASS SERVICE SYSTEMS MODELING TO BE IMPLEMENTED IN GO PROGRAMMING LANGUAGE

The subject of the article is the methods and approaches to organizing the architecture of software implementation designed for modeling the behavior of mass service systems. The goal of the work is to design a software architecture for implementation in Go language, intended to replicate the behavior of various types of mass service systems, without considering the failure of individual service channels, using parallel computing. The article addresses the following tasks: consider the basis for designing the architecture and conclude its appropriateness; develop requirements for the future software product for more effective resource use and clear definition of successful completion; analyze the approaches to organizing software architecture and make a justified decision on the application of one of them; design a general algorithm scheme taking into account all requirements; identify the components of the modeled system and their interactions; build process diagrams considering the specifics of the Go programming language; define the method and contracts of interaction with the software. The research will utilize the following methods: Go programming language, concurrency, architectural UML diagrams, C4 diagrams, process diagrams. The following results were obtained: the requirements for the software for modeling mass service operations (SMO) were defined; common approaches to organizing architecture were considered and a comparative analysis was conducted; the structure of the future program was developed at the necessary levels of abstraction; for the first time, an architecture of the software product for modeling various mass service systems using parallel computing and the concurrency approach under the implementation in the Go programming language was proposed.

Rejection probability reduction in queueing systems with limited queue using size based prioritization and artificial intelligence

The article is dedicated to enhancing the efficiency of request processing in multi-channel mass service systems with limited queue and refusals in case of overflow. The subject of this article is the methods and approaches to optimizing the processing of request flows. The aim of the work is to propose a new approach to prioritizing and balancing request categories to reduce the probability of refusals. The tasks of the article include: formulating the studied mass service system; determining the source of optimization; describing the method of dividing the overall request flow into categories; listing approaches to determining the request sizes; defining the algorithm for processing requests using size-based prioritization; proposing solutions to load assessment and priority balancing problems using artificial intelligence. The following methods are used: mass service theory, UML diagrams, artificial intelligence. The following results were obtained: a method to reduce the probability of refusals in multi-channel mass service systems with a limited queue by increasing the priority of smaller requests was proposed; methods for assessing request complexity and dividing the overall request flow into categories according to their complexity were proposed; an approach to balancing priorities using artificial intelligence was proposed.

PROBLEMS OF DETERMINING THE NEED FOR SPARE PARTS AND MATERIALS FOR THE MAINTENANCE OF AIRPORT SPECIAL EQUIPMENT

The modern conditions of airport operation are considered from the point of view of reducing tariffs for services by reducing the costs of special equipment operation. The main attention is paid to the analysis of the influence of the costs of spare parts and materials used in its maintenance on the cost of special equipment use. The processes of special equipment utilization at the airport are considered as stochastic, and the logistics system at the airport is considered as a mass service system. It is taken into account that the stochasticity of the system is conditioned not only by the properties of the processes, but also by the randomness of the factors influencing them. In this regard, to manage the system under consideration, the list of factors that determine the intensity of resource consumption, as well as the regularities of their changes is analyzed. The main attention is paid to the necessity to find a compromise between uninterrupted supply, which requires an increase in the size of orders, and the reduction in the volume of stocks, which increases the cost of working capital of the aviation enterprise. The influence of climatic conditions of operation on the consumption of resources for the maintenance of special equipment at the airport is also analyzed. The analysis has shown that the determination of the need for resources for the maintenance of special equipment at airports is currently planned on the basis of the actual consumption for the previous year and it is not practically taken into account that the consumption varies seasonally. In this regard, it is noted that the relevance of research aimed at developing methods for planning the need of special transport services of modern airports in spare parts and consumables for maintenance, taking into account the variation in the intensity and operating conditions of special equipment. The analyzed approaches to the development of such methods show the need to consider the process of determining the need for spare parts and consumables for maintenance of special equipment as non-stationary, due to seasonal changes in the intensity and operating conditions. On this basis the basic principles of development of theoretical provisions and practical recommendations for determining the size of stocks of spare parts and consumables for maintenance of special equipment are proposed.

Modeling of the process of multicriteria distribution and execution of work packages in the design of technological systems

Modeling of the process of multicriteria distribution and execution of work packages in the design of technological systems

Assessment of QOS indicators of a network with UDP and TCP traffic under a node peak load mode

The object of research is Markov models of network nodes with UDP (User Datagram Protocol) and TCP (Transmission Control Protocol) traffic and their differences. The task solved is the lack of Markov models of network nodes describing the behavior of TCP traffic from the point of view of packet retransmissions and packet delivery guarantees. Markov models of network nodes describing traffic behavior with guaranteed packet delivery have been further advanced. Given the comparison of the models, the differences from the classic models serving TCP traffic were shown, for each packet flow, an additional dimensionally was added to the graph of states and transitions, which takes into account the retransmission of a lost packet. The comparison graph shows similar behavior of queue length and packet loss for both types of traffic. But the nature of the curves is different. With TCP traffic, packet loss can exceed 5 percent. In addition, lost packets must be retransmitted, which increases the load on the network node. More failures and packet queue lengths at a network node during peak load typically occur with TCP traffic compared to UDP traffic. At peak load, the difference in service failures can reach 20–30 percent. The main reason is that TCP uses flow control and rate-limiting mechanisms to avoid network congestion and ensure efficient data transfer between nodes. The Markov model of TCP traffic requires an additional dimensionally on the graph of states and transitions, which affects the behavior of queues and packet failures. The investigated problem was solved due to the universality and diversity of the mathematical apparatus of Markov mass service systems. The results could be used in network modeling software products for building and reengineering the topology of electronic communications networks at enterprises and organizations

Application of Mass Service Theory to Economic Systems Optimization Problems—A Review

An interdisciplinary approach to management allows for the integration of knowledge and tools of different fields of science into a unified methodology in order to improve the efficiency of resource management of different kinds of systems. In the conditions of global transformations, it is economic systems that have been significantly affected by external destabilizing factors. This determines the focus of attention on the need to develop tools for the modeling and optimization of economic systems, both in terms of organizational structure and in the context of resource management. The purpose of this review study is to identify the current gaps (shortcomings) in the scientific literature devoted to the issues of the modeling and optimization of economic systems using the tools of mass service theory. This article presents a critical analysis of approaches for the formulation of provisions on mass service systems in the context of resource management. On the one hand, modern works are characterized by the inclusion of an extensive number of random factors that determine the performance and efficiency of economic systems: the probability of delays and interruptions in mobile networks; the integration of order, inventory, and production management processes; the cost estimation of multi-server system operation; and randomness factors, customer activity, and resource constraints, among others. On the other hand, controversial points are identified. The analytical study carried out allows us to state that the prevailing majority of mass service models applied in relation to economic systems and resource supply optimization are devoted to Markov chain modeling. In terms of the chronology of the problems studied, there is a marked transition from modeling simple systems to complex mass service networks. In addition, we conclude that the complex architecture of modern economic systems opens up a wide research field for finding a methodology for assessing the dependence of the enterprise performance on the effect of optimization provided by using the provisions of mass service theory. This statement can be the basis for future research.

ІМІТАЦІЙНЕ МОДЕЛЮВАННЯ МЕРЕЖІ МАСОВОГО ОБСЛУГОВУВАННЯ

In this work, simulation modeling of mass service network is investigated. The relevance of researching the topic lies in its potential to enhance efficiency and effectiveness across various service industries. In today's increasingly interconnected and technologically driven world, understanding how to optimize service delivery processes is paramount. By employing simulation modeling techniques, researchers and practitioners can simulate real-world scenarios, identify bottlenecks, test different strategies, and ultimately improve the overall performance of mass service networks. This research can have practical applications in areas such as transportation, healthcare, telecommunications, and customer service, where efficient management of large-scale service networks is essential for meeting demand, reducing costs, and enhancing customer satisfaction. Moreover, the insights gained from such research can inform policy-making decisions aimed at improving service accessibility, equity, and resilience in the face of disruptions, thus contributing to the advancement of both academic knowledge and practical applications in the field of service operations management. It is noted that simulation modeling can be considered as a methodology and not a theory of problem solving. One of the features of simulation models is the practically significant assumption that they can serve as a tool for analyzing the behavior of the system under the conditions determined by the experimenter. The elements of a mass service network are the input flow, the mass service system, and communication. The input flow is characterized by the interval of requests to the network, which can be a random or deterministic value, as well as the number of the mass service system to which the request is received. The state of the incoming stream is determined by the moment in time when the next request arrives in the mass service network. In the case when the time interval for the arrival of requirements is a random variable with a known distribution law, a random number generator is used to calculate it.

Algorithm for ranking applications in QS with priorities in the agro-industrial sector

The study delves into the queuing process for warranty or post- warranty service requests in companies specializing in repairing electronic devices within the agro-industrial sector. The research also investigates the environmental implications of such operations and the environmental challenges related to servicing electronic devices in agricultural production. To streamline maintenance operations and cut costs, a logistic allocation approach for requests is proposed based on queuing systems theory principles. By analyzing workshop operations, a repair work performance scheme is developed, aligning with the specifics of agricultural production and environmental considerations in device maintenance. This has helped outline the primary requirements for the information system, creating diagrams that detail the sequence of processes for order addition, diagnostics, repair, spare parts ordering, and waste disposal. Using terminology from mass service systems, the workshop process is described, and an algorithm for preliminary time parameter calculations has been formulated to predict service completion dates. This methodology not only enables timely updates for customers regarding service completion times and the optimization of order routing through various channels, but it also contributes to addressing the adverse environmental impacts, a critical aspect in the organization of activities within the agricultural sector.

As for the interaction between railway stations and places of use

The main reasons limiting the application of the analytical method in industrial transport are: the impossibility of mass classification and typification of access tracks; real access tracks belong to the system of mass service; the complexity and huge labor intensity of obtaining numerical characteristics; the use of timing or statistical data does not allow to determine if the access track was operating in an optimal mode, and requires new research when conditions of both external and internal nature change; the formulas used for calculations by the analytical method are approximate. The reserves for accelerating the turnover of wagons on access tracks largely depend on the railways. Strict adherence to contractual conditions for delivering and cleaning wagons, timely information about the arrival of empty and loaded wagons, and the use of flexible forms of organizing wagon flows allow significant improvements in the use of wagons on access tracks.

ЗАГАЛЬНА ХАРАКТЕРИСТИКА СИСТЕМИ ІМІТАЦІЙНОГО МОДЕЛЮВАННЯ GPSS

The article examines the general characteristics of the GPSS simulation modeling system. Researching the topic is relevant because it is essential for comprehending and effectively utilizing a fundamental tool in the realm of simulation modeling. GPSS (General Purpose Simulation System) has been a prominent simulation language and environment for several decades, serving as a key instrument for modeling and analyzing complex systems across various domains. It is noted that the GPSS World simulation system is a modern and powerful tool for research and analysis of various systems, in particular in the field of mass service systems. Through its development history from the original GPSS to the latest version GPSS World, it has acquired a number of improvements that make it unique and highly effective. This system has a high level of interactivity, extensive functionality and the ability to model both discrete and continuous processes. Visualization and animation tools built into the system facilitate convenient observation and analysis of simulation results. Exploring the general characteristics of GPSS is essential for several reasons. Investigating the fundamental characteristics of GPSS provides insights into its underlying principles, methodologies, and computational mechanisms. By comprehensively studying the features and capabilities of GPSS, researchers can identify opportunities for enhancing its performance, scalability, and usability. GPSS offers a range of modeling constructs, simulation controls, and statistical analysis tools. Exploring its general characteristics allows researchers to uncover the full spectrum of modeling capabilities and adapt them to diverse application scenarios. As simulation modeling evolves, GPSS continues to evolve alongside new methodologies, techniques, and technologies. Investigating its general characteristics facilitates integration with advanced modeling approaches such as agent-based modeling, discrete-event simulation optimization, or hybrid simulation paradigms. Researching the general characteristics of GPSS contributes to educational initiatives in simulation modeling and operations research. It provides valuable content for instructional materials, textbooks, and courses aimed at introducing students to simulation concepts, programming languages, and best practices.

МОДЕЛЬ И МЕТОДИКА ИССЛЕДОВАНИЯ СКВОЗНОГО БИЗНЕС-ПРОЦЕССА В ТАМОЖЕННОЙ ЭКОСИСТЕМЕ

This article provides a detailed examination of the operations occurring in the customs system aimed at conducting documentary and actual customs control. The average volume of loads processed by a particular element of the customs ecosystem, as well as the average time spent by a declaration at each stage of customs clearance, were calculated, the main parameters reflecting the productivity of the subsystem elements were determined, and a model of a multi-channel mass service system was built to determine the average time spent by a declaration of goods in various subsystems (customs offices, customs offices of direct subordination, regional customs administrations).

Development of models for managing the population mass service system in a bank

This paper presents models for evaluating the effectiveness of management tasks in Public Service Systems (PSSs), a mathematical model based on the analytical hierarchy process method for distributing elderly and conflicting customers along routes to a specific operator based on the emotional state and age of a customer. The models were trained and tested on the AffectNet and Adience datasets with four classes [angry, happy, neutral, sad] and [6-20, 25-30, 42-48, 60-98]. The accuracy of these models after training achieved in this study was compared with the results described in the scientific papers published in the Scopus Database. According to the experimental data obtained, the first and second developed models achieved validation accuracy of 76.30% and 75.1%, respectively.

THE METHOD OF OPTIMIZING THE DISTRIBUTION OF RADIO SUPPRESSION MEANS AND DESTRUCTIVE SOFTWARE INFLUENCE ON COMPUTER NETWORKS

Context. Currently, generalized methodical approaches to the development of scenarios of complex radio suppression and electromagnetic influence of typical special telecommunication systems have been developed. However, during the development of possible cases for the complex application of radio suppression and destructive software influence,the problem of optimizing the resource of these means and its distribution according to the goals of radio suppression and objects of destructive computer influence arose, which has not yet been fully resolved.Especially in the literature known to the authors, there is no method for optimizing the resource distribution of radio and computer influence, used for the development and practical implementation of optimal scenarios of destructive influence on computer networks of enemy military groups in military operations.
 Therefore, it is necessary to formulate a problem and develop a method of optimizing the distribution of the resource of radio suppression and destructive software influence for the development of possible scenarios of the enemy’s violation of information exchange in a standart telecommunication network.
 Objective. The purpose of the research is to develop a method for optimizing the distribution of the resource of radio suppression and destructive software influence for the development of scenarios of information exchange violations by the enemy in the telecommunications network.
 Method.To achieve the purpose of the research, the methods of nonlinear optimization of heterogeneous resource distribution, mass service theory, and expert evaluation were comprehensively applied and developed in the field of modeling of information conflict.
 To determine the coefficients of protection of objects from radio-electronic and destructive computer influence, expert evaluation methods are used, in particular, the method of frequencies of preferences of the decision-maker using the Thurstone method. This method requires only one expert (a decision-maker), minimal communication time with him, minimal expert information (full ordering of weighting factors) and can be applied with a small number of evaluated weighting factors.
 To solve the problem of optimal distribution of a heterogeneous resource of means of destructive influence, to ensure the value of the multiplicative objective function of an arbitrary form is not less than the given one, the method of successive increments is applied.
 To determine the efficiency indicator of information exchange violation, the methods of mass service theory are applied, which allows to formalize special telecommunication systems as a set of mass service systems – subsystems of digital communication and computer networks.
 Results. The formulated problem and the entered indicators made it possible to solve the problem of determining the minimum resource of means of destructive influence and their optimal distribution according to the purposes of radio suppression on the objects of destructive program influence in order to achieve the required level of disruption of the efficiency of information exchange in special telecommunication systems.
 Conclusions.According to the results of the article, a method for optimizing the distribution of the resource of radio suppression and destructive software influence has been developed for the development of possible scenarios of information exchange violations by the enemy in a typical telecommunications network.The verification of the proposed method was carried out by comparing the theoretical results with the results of simulated modeling of scenarios of violation of the information exchange in the telecommunications network by the enemy.

RESEARCH OF AUDIO AND VIDEO TRAFFIC THE CHARACTERISTICS IN LOW-BANDWIDTH RADIO COMMUNICATION NETWORKS

The construction of mass service systems, namely automated control systems, requires preliminary analysis and modeling of traffic in their communication networks. Mathematical models of various types of traffic have been developed for public networks, which allows to estimate the necessary functional characteristics of equipment for building a communication network, depending on the number of users. Low-bandwidth communication networks, which are built on the basis of ultra high frequency and very high frequency (UHF/VHF) radio stations, are distinguished by low speed, high delay and jitter of data transmission. To work in such communication networks, special data transmission protocols are adapted and developed. In this paper, a study of the characteristics of audio and video traffic in low-bandwidth communication networks is carried out, which are built on the basis of UHF/VHF radio stations, which will allow creating a software implementation of simulated traffic modeling for the further determination of the services availability at the stage of planning and designing the communication system. Two personal computers and two modern RF‑7850M-HH UHF/VHF radio stations were used to study the characteristics of audio traffic. The radio stations worked in three operating modes: narrowband mode with a fixed carrier frequency FF, narrowband mode with pseudo-random adjustment of the operating frequency QL1A, and wideband mode ANW2C. The voice was transmitted in digital mode using the built-in MELP 2400 codec, and the "iperf-v2.0.5" software was used to determine the characteristics of the audio traffic on personal computers connected to these radio stations. Two personal computers, two modern RF‑7850M‑HH UHF/VHF radio stations, a video encoder and a video camera were used to study video traffic characteristics. The radio stations operated in ANW2C broadband mode. To evaluate the characteristics of the video traffic, the Wireshark software was used on a personal computer, with the help of which the video broadcast from the video encoder was presented. It was found that voice transmission in low-speed communication networks based on UHF/VHF radio stations occupies a bandwidth of 2 Kbit/s - 2.5 Kbit/s, and when voice and data are simultaneously transmitted in radio stations, data buffering and jitter increase. The resolution, bitrate, FPS, and necessary bandwidth of video traffic that can be transmitted via UHF/VHF radio communication channels are determined. Based on the conducted research, recommendations are provided for the transmission of video traffic through low-bandwidth communication channels.

ІНЖЕНЕРНИЙ МЕНЕДЖМЕНТ МОНІТОРИНГУ ПОТОКІВ ТРАНСПОРТНИХ ЗАСОБІВ ПРИ ЗБИРАННІ ЗБІЖЖЯ

The results of using equipment for determining the location of vehicles based on global navigation sat-ellite systems to modernize field road networks and improve the quality of vehicle flow monitoring systems during grain harvesting are presented. An engineering solution for optimizing vehicle registration points is presented and substanti-ated, which allows to eliminate congestion at entrances and/or exits by reducing the cost of the infrastructure required for operation. A list of measures for implementing an improved toll collection system has been formulated, including: installation of access points at entrances and exits, creation of special data centers, development of machine code and reflashing of previously released devices. To verify the proposed solution, data transmitted from vehicles to a GSM base station based on the mass service system. Keywords: grain harvesting, monitoring, flow, vehicle, queuing system.

ПОБУДОВА МАКРОМОДУЛЯ ОПЕРАТОРА ТА ІМІТАЦІЙНЕ МОДЕЛЮВАННЯ ПРОЦЕСУ ТЕХНІЧНОГО ОБСЛУГОВУВАННЯ ОЗБРОЄННЯ ТА ВІЙСЬКОВОЇ ТЕХНІКИ

Increasing the effectiveness of the use of any type of weapon involves the understanding of increasing the survivability of the type. Since the longer a sample of weapons is in working condition, the more efficient and better the performance of the tasks assigned to the unit will be. An important component of the life cycle of a sample of weapons and military equipment (AMT) is maintenance, and the high-quality organization of the maintenance system is a guarantee of the durability of the use of AMT as intended. The factors influencing the operational and combat characteristics of the OVT are quite multifaceted and require increased attention from the commanders of the units. Modern models of OVT are equipped with systems for managing and monitoring the technical condition of the systems, and the newer the model, the more complex and expensive the systems are, equipping the equipment with such systems ensures reliable and comfortable operation of the model and, as a result, requires strict control over timely maintenance, in the case of the opposite activities of officials responsible for the operation, respectively, premature failure of the entire model, which is unacceptable in military units. Carry out maintenance planning in a timely and high-quality manner, forecasting the needs of the repair fund for the fastest possible return of the OVT sample that is being serviced (failed) to service. Thereby keeping the equipment in constant combat readiness. This goal should be preceded by an understanding of planning processes, not even using field experiments, but as an option for building operator models, micromodules of maintenance operators and conducting simulation modeling of the maintenance process of mass service systems. Keywords: efficiency improvement, life cycle, operating model, influencing factors, failures, maintenance, technical condition, restoration, simulation modeling, mass service systems.

Building models to optimize vehicle downtime in multimodal transportation

Sustainable development has become the main focus of transport policy and planning around the world. One of the practical goals when performing multimodal transportation is the optimization of logistics costs. That is, the object of research is the process of multimodal transportation. Empirical research shows that the problem of optimization of transportation costs can be solved by different methods. But the result will be similar. In the given approach, only one component of the transportation process is subject to optimization, which is the overload time. The solutions are based on the method of mass service theory and the method based on fuzzy logic. With the help of these methods, based on practical data, time parameters were calculated that characterize overloading from railway transport to road transport. The application of the method of a weakly formalized process in relation to transport logistics was considered, taking into account not only quantitative estimates but also qualitative, vaguely defined criteria that do not lend themselves to formalization, and the relationships between them. The model was developed for further research of this process, prediction of its behavior, optimization of functioning. It is based on the technology of fuzzy sets. The results obtained using the agent model based on the mass service network and the model based on fuzzy logic differ within the permissible specified limits of no more than 5–7 %. The application of fuzzy logic in the logistics of multimodal transportation is relevant and gives the best results compared to traditional methods of the theory of mass service systems. The article includes comparisons that reflect the advantages of the proposed approach. The obtained results are of a practical nature and can be used to make a decision on choosing a route and/or when transferring from one mode of transport to another

Estimation of timing characteristics in real-time computer systems using Petri nets

The work is devoted to the problem of determining the time characteristics of tasks in real-time systems, the success of which depends not only on their logical correctness, but also on the time for which they receive the result. Determining such time characteristics of the system at the design stage is a rather difficult problem. Its solution is currently based on the use of two main methods: theoretical calculations related to the calculation of the so-called feasibility criteria and modeling of the system's operation on models. Among the models, statistical models of mass service systems are the most widespread. However, in both the first and second options, it is impossible to obtain a guaranteed result, which significantly complicates the design process. Recently, it has been proposed to use the methods of researching models based on the use of the Petri net apparatus. The paper proposes a method for estimating the time characteristics of tasks in real-time systems by means of data analysis. Obtained by modeling the distribution of processor time between tasks according to the selected algorithms of the scheduler by using a model of the software system in the form of a Petri net. The paper proposes a method for estimating the time characteristics of tasks in real-time systems by means of data analysis. Obtained by modeling the distribution of processor time between tasks according to the selected algorithms of the scheduler by using a model of the software system in the form of a Petri net. The method guarantees obtaining the time characteristics of the tasks when choosing specific types of processor and scheduler, which is required to start the technical design of the real-time system. The use of the proposed mathematical model and a package of application programs allow, at the early stages of the development of a real-time system, to determine the real terms of tasks and choose the optimal option for the implementation of technical and lost support. The proposed mathematical models are based on determining the time characteristics of program execution by modeling the distribution of processor time between tasks, subject to the prior selection of planning algorithms and the characteristics of a complex of technical means. The research is based on the use of simulated statistical models and Petri net models, The use of the proposed tools allows you to significantly reduce the time of analysis of possible options for real-time system implementation, increases the quality of the project and significantly reduces the overall time and cost of the entire development. The paper examines in detail the process of modeling a multitasking computer system using a Petri net device. A concrete example shows the simulation of the operation of a complex of programs, including the development of simulation algorithms, the listing of the simulation program, and the analysis of the obtained results.

ПРАВЛІННЯ ПРОЦЕСАМИ НАДАННЯ ПОСЛУГ КЛІЄНТАМ У ТОРГОВОМУ ПІДПРИЄМНИЦТВІ

The article reveals the essence of services as an object of exchange in trade entrepreneurship. The main characteristics of services have been analyzed and a conclusion has been drawn regarding the peculiarities of the formation of consumer choice regarding services. Specific features of sale and consumption of services are determined. The connection between the economy of impressions, emotional marketing and the behavior of the consumer of services is considered. Keywords: trade entrepreneurship, services, mass service systems, retail, service channels, service process management.

Functional Model Of Public Transport Passenger Flow Analysis And Assessment

Abstract. Problem. The operation of transport systems of a large city must ensure a continuous flow of passengers. The subway occupies a special place in the city's transport system. The constant increase in the loading of the subway not only worsens the conditions of passenger transportation, but also shortens the service life of the rolling stock and negatively affects the reliability of its operation. In the future, this may cause failures of the rolling stock, which means work failures. The main factor in the development of subway systems is passenger traffic, which determines the development of the subway network, the capacity of technical equipment, the number of vehicles, the size of depots and vehicle repair plants, and the time of repair with the least economic losses. Thus, one of the urgent tasks of the functioning of transport systems is the creation of an automated system of mass passenger service, in particular in the subway. Goal. The tasks of this study are the analysis of the subject area, the design of the information system according to the task, the selection of the necessary tools for this development, and the methods of software implementation. Analysis of passenger flows using an automated system will allow to solve many problems of design, operation, and planning of metro work, will allow to reduce the time for passenger service and optimize passenger flows. Methodology. Research methods are the methods of mass service systems. Results. The creation of a functional model will make it possible to develop a software product for the analysis and assessment of public transport passenger traffic. Originality. Practical value. The software product created on the basis of the developed functional model will enable the user not only to analyze, but also to optimize the work of both existing and future metro stations.