Key Subsystems Research Articles

Research on deformation prediction of CFETR multi-purpose overloaded robot based on real-time structural simulator

The CFETR Multi-Purpose Overload Robot (CMOR) is a key subsystem of the China Fusion Engineering Test Reactor (CFETR), which can perform maintenance tasks of the internal components. However, the large slenderness ratio of the structure results in low control accuracy of the CMOR end-effector. This paper proposes a CMOR deformation prediction method based on the real-time structural simulator. The overall deformation model of CMOR is analyzed based on the single joint deformation mechanism. Based on the principle of layered control, the control framework of the CMOR structural simulator is constructed, and the deformation data of CMOR in different positions are calculated based on the finite element method. A hybrid neural network containing a multilayer perceptron, transformer, and attention mechanism is designed to train the CMOR deformation prediction model. The training results show that the deformation prediction model converges quickly and fits the deformation of the CMOR structure well with small prediction errors. Finally, the real-time structure simulator is developed based on the deformation prediction model, and the deformation of CMOR is reconstructed with the update frequency of 2 Hz and the absolute error at any point within ±10 mm, which verifies the correctness of the CMOR structural deformation prediction method.

Enhancing collaborative PHM of complex equipment: A MBSE approach for PEMFC health management systems

Model-Based Systems Engineering (MBSE) is acknowledged as an anticipatory design methodology. In addressing the operational and maintenance challenges of complex equipment, particularly those capable of self-healing, a Prognostics and Health Management for Digital Twin (PHMDT) framework has been developed in this research. This framework, rooted in MBSE principles, targets digital twins and encompasses four key subsystems: Virtual-Real Mapping, Prediction, Visualization, and Strategy Development & Evaluation. These subsystems facilitate the seamless transition from stakeholder requirements to subsystem analysis and design. Illustrated within the MagicGrid framework, practical implementation scenarios within the PEMFC system are presented. Each proton exchange membrane fuel cell (PEMFC) subsystem is meticulously crafted, leveraging monitoring matrices, refined characterization equations, bespoke state prediction models, and self-healing recovery strategy formulation. Through comprehensive visualization and integration, a robust PHM system is realized, affirming the efficacy and applicability of the PHMDT framework. The aim of this study is to propose a framework that is more suitable for collaborative PHM of complex equipment and to explore in detail the specific implementation structure of each subsystem in the health management of PEMFC.

Modular Modeling of a Half-Vehicle System Using Generalized Receptance Coupling and Frequency-Based Substructuring (GRCFBS)

This paper presents an advanced modular modeling approach for vertical vibration analysis of dynamic systems using the Generalized Receptance Coupling and Frequency-Based Substructuring (GRCFBS) method. The focus is on a four-DoF half-vehicle model comprising three key subsystems: front suspension, rear suspension, and the vehicle’s trimmed body. The proposed technique is designed to predict dynamic responses in reconfigurable systems across various applications, including automotive, robotics, mechanical machinery, and aerospace structures. By coupling the receptance matrices (FRFs) of individual vehicle modules, the overall system receptance matrix is efficiently derived in a disassembled configuration. Two generalized coupling methods, originally developed by Jetmundsen and D.D. Klerk, are employed to determine the complete vehicle’s receptance matrix from its subsystems. Validation is achieved by comparing the results with established methods, such as direct solution and modal analysis, demonstrating high accuracy and reliability for complex dynamic systems. This modular approach allows for the creation of reduced-order models focused on key measurement points without the need for detailed system representation. The method offers significant advantages in early-stage vehicle development, providing critical insights into system vibration behavior.

PSYCHOLOGICAL READINESS OF SENIOR ADOLESCENTS FOR HIGHER EDUCATION UNDER WARTIME STRESS CONDITIONS

Introduction. Researchers have always paid close attention to an educational problem of the formation and the role of psychological readiness of adolescents and students for studying at higher education institutions. After the start of a large-scale Russian military invasion in February 2022, this aspect has become particularly acute and relevant. The aim of this reveiw article is to examine the role of key subsystems of psychological readiness among students in higher education institutions under the influence of wartime conditions. Materials and methods. Based on professional review articles, this study examines the primary factors shaping a psychological readiness of an individual for higher education. The importance of this work is heightened by the ways in which these processes are significantly altered—and in some cases, become multi-complementary—under the conditions of the Russian military invasion. The study draws on psychological research conducted by leading scientists, focusing primarily on findings from the past five years. Results. The psychological readiness of first-year students for studying at higher education institutions is closely tied to their psychological adaptation to new academic conditions. This readiness is crucial for shaping graduates into professionally skilled specialists equipped to work in relevant sectors of the national economy. Research indicates that developing psychological adaptation of students is not feasible without a foundational intellectual component of psychological readiness established in earlier stages. This foundation promotes students’ creativity, the formation of self-concept („I” concept), and heightened resilience to the challenges of studying in higher education during extreme wartime conditions. Without this structure of psychological readiness, achieving higher education becomes virtually unattainable. The next important component of the system of psychological readiness of adolescents for studying at higher education institutions is personal readiness. This is a rather complex and complementary system of individual knowledge and skills. It solves practical issues of optimizing the receipt and processing of information by a adolescent, as well as readiness to discuss the achieved results with peers, the importance of these processes for the formation of self-awareness of young men and women. The third important component of university students’ psychological readiness is the operating system. First of all, this concerns not only the issues of mastering professional knowledge and technologies, but also the ability to use them in the practical professional activities of students, and later adults. Conclusion. Thus, the psychological readiness of adolescent students significantly enhances their ability to succeed in higher education. It fosters greater adaptability and resilience, particularly under the challenging conditions of wartime, supporting students in navigating their studies more effectively.

Family Resilience in Care Coordination Technologies: Designing for Families as Adaptive Systems

When a child is admitted to the hospital with a critical illness, their family must adapt and manage care and stress. CSCW researchers have shown the potential for collaborative technologies to support and augment care collaboration between patients and caregivers. However, as a field CSCW lacks a holistic, theory-driven understanding of how collaborative technologies might best augment and support the family caregiving circle as a socio-technical system. In this paper, we report findings from interviews with 14 parents of children with cancer admitted for extended hospitalizations. We use the resilience-based Family Adaptive Systems framework from family therapy as a lens to characterize their challenges and practices across four key subsystems: Emotion, Control, Meaning, and Maintenance. Then, we introduce a fifth system-the Information system-and draw on our empirical findings to suggest theory-driven opportunities for designing future collaborative technology to augment collaborative caregiving and enhance family resilience.

Increasing the efficiency of operation and management of railroad transport infrastructure based on maximum levels of fault tolerance

This paper considers the optimization of parameters for a railroad transport system. The maximum level of technological reliability and the average time spent by trains on the route are used as optimization criteria. The purpose of the study is to establish the optimal parameters for the operational process of railroad transport systems according to the criterion of the maximum level of technological reliability and the minimum time of trains on the route. Methods of technological reliability research have been proposed. Taking into account that the entire technological process is a sequential set of technological elements, a simulation model of the technological process of the transit transport-technological line along a route direction has been built. A population of agents that simulates the operation of railroad sections of the rotation of train locomotives and is a key subsystem of the simulation model has been developed and configured. The simulation model makes it possible to optimize the parameters of multi-section railroad lines. This approach is provided owing to the agent approach. As a result of the experiments, the optimal parameters of the functioning of railroad lines were established when organizing the passage of transit trains. The coefficient of utilization of the locomotive fleet fluctuates within the optimal range (0.55–0.65), which indicates the sufficiency of traction resources in the railroad system. The optimal parameters of the railroad transport system were established experimentally using the example of a train flow of 85 pairs of trains on a two-track route with five sections. The problem of "abandoned trains" has a solution but, to this end, it is necessary to increase the fleet of train locomotives by 150–200 % relative to existing standards. At the same time, even with an unlimited fleet of train locomotives, there is a fairly high probability (up to 30–50 %) of technological failures

Iterative control decoupling tuning for precision MIMO motion systems: A matrix update method

Control decoupling is the basic control step for precision MIMO (Multi-Input-Multi-Output) motion systems. After decoupling, the MIMO logical controlled plant can be diagonal dominant so that the control design for each DOF (Degree of Freedom) can be separately treated. However, due to the manufacturing tolerances and the assembling errors, the actual CoG (Center of Gravity) and actuator positions are inconsistent with the designed values. The nominal static control decoupling matrix is inaccurate, which significantly deteriorates the decoupling performance. To address the problem, this paper develops a matrix update based iterative control decoupling tuning method. Tuning with feedback control signals to achieve accurate tuning is its first distinct feature. By employing rigid-body model information to construct more accurate basis functions, fast tuning can also be achieved, especially for relatively low control bandwidth occasions. Differing from the feedforward compensation based iterative control decoupling tuning method, the matrix update method improves the dynamics of the logical controlled plant, does not increase the control complexity and is more robust to the inaccuracy of the model information. Experimental results on the short-stroke module of a precision motion stage which is the key subsystem of the lithographic projection lens testing system present significant control decoupling performance improvement (for example the peak value of the Rx-DOF servo error caused by the Z-DOF movement is reduced from 1.29 ×10−5 m to 3.19 ×10−6 m) after just two trials.

Цифровая и логистическая инфраструктуры Арктической зоны: современное состояние исследований и пути развития

The subject of the article is the analysis of the current state of research and practice in the field of transport, logistics and digital infrastructures in the Russian Arctic. The authors consider logistic and digital infrastructures as key communication subsystems that ensure the movement of material values, people and information, and thus serve as a prerequisite for the development of the macro-region under consid-eration. The research methods used were literature review of scientific sources and analysis of the ob-tained material. A systematic literature mapping was carried out on Scopus, Google Scholar, Elibrary data-bases. Aspects of the Arctic region development, including the role of logistics and digital infrastructures in this process, are described by scientific schools of Russia, Canada, Norway, China, USA and other countries. The analysis has shown the highly variable state of the subsystems under consideration depending on the specific region, as well as the lack of a comprehensive approach to their joint development and integration. It was stated that there is no such problem statement about the development of communication subsystems of the Arctic zone. On the basis of the analysis, the key directions for the development of logistics and digital infrastructure of the Arctic zone of the Russian Federation were formulated. The authors’ recommendations, apart from the obvious tasks of developing sea routes, building and modernizing roads, railways and airports, expanding access to broadband internet and other widely discussed measures, describe the need to integrate the communication subsystems under consideration and focus on the potential of digital technologies to replace and/or supplement the logistics infrastructure in certain aspects.

High Voltage Monolithic Active Pixel Sensors for the MOLLER experiment

The MOLLER experiment [1] aims to measure the parity-violating asymmetry (APV) in electron–electron scattering at 11 GeV, and thus determine the weak charge of the electron to a high precision (2.4%). Two of the key sub-systems in the experimental apparatus are the main detector array, consisting of 224 fused silica detector modules and an electron beam Compton polarimeter. The main detector array can be operated in either pulsed mode for particle tracking, or integration mode for the asymmetry measurement at high rate detection. A subset of these detector modules will be equipped with an array of High Voltage Monolithic Active Pixel Sensors (HVMAPS), to be used in particle tracking and allowing for real-time monitoring of the event profile in the main Møller region. HVMAPS are also used for the Compton polarimeter, consisting of four-plane planes of HVMAPS chips, housed in a vacuum chamber upstream of the interaction point. An overview of the implementation of the HVMAPS for the main detectors and Compton polarimeter is provided.

Integrated Dynamic Modeling and Simulation of Wheeled Vehicle with Outer-Rotor In-Wheel Motors and Key Units

The purpose of this paper is to accurately establish a model of a special vehicle driven by in-wheel motors (IWMs) and investigate its dynamic characteristics. This study proposes a novel integrated vehicle modeling strategy, focusing on the IWM and other key subsystems. Based on this strategy, the vehicle model is developed and simulated in ADAMS. The natural frequencies of the vehicle and transmission characteristics of key components are compared with MATLAB simulation results to validate the accuracy of the model. In the time-domain analysis, the vehicle system’s time-domain characteristics are obtained by using random road spectra of different road grades as excitations. Our simulation results demonstrate that vibration input can be reduced by between 97% and 99% after multi-stage vibration reduction. This work will provide relevant parameters for the design of special vehicles driven by IWMs.

Identifying influencing factors and characterizing key issues in urban sustainable development capacity through machine learning

In response to the United Nations Sustainable Development Goals and China’s “Dual Carbon” Goals (DCGs means the goals of “Carbon Peak and carbon neutrality”), this paper from the perspective of the construction of China’s Innovation Demonstration Zones for Sustainable Development Agenda (IDZSDAs), combines carbon emission-related metrics to construct a comprehensive assessment system for Urban Sustainable Development Capacity (USDC). After obtaining USDC assessment results through the assessment system, an approach combining Least Absolute Shrinkage and Selection Operator (LASSO) regression and Random Forest (RF) based on machine learning is proposed for identifying influencing factors and characterizing key issues. Combining Coupling Coordination Degree (CCD) analysis, the study further summarizes the systemic patterns and future directions of urban sustainable development. A case study on the IDZSDAs from 2015 to 2022 reveals that: (1) the combined identification method based on machine learning and CCD models effectively quantifies influencing factors and key issues in the urban sustainable development process; (2) the correspondence between influencing factors and key subsystems identified by the LASSO-RF combination model is generally consistent with the development situations in various cities; and (3) the machine learning-based combined recognition method is scalable and dynamic. It enables decision-makers to accurately identify influencing factors and characterize key issues based on actual urban development needs.

Integration of MPPT algorithms with spacecraft applications: Review, classification and future development outlook

The electric power system is one of the key subsystems of a spacecraft and is responsible for the acquisition, conversion, storage and control of energy during the spacecraft mission. Therefore, ensuring the adequacy and stability of energy sources has become an important part of the spacecraft design process. Currently, most spacecraft acquire energy through the solar cell arrays they carry, but the actual output power of the photovoltaic system is difficult to reach the peak power due to the influence of the on-orbit space environment such as alternating temperature changes and radiation. In order to improve the output efficiency of PV systems, researchers have proposed the maximum power point tracking method based on the operating characteristics of the PV cells, and the classical methods include the incremental conductance method, hill-climbing method, constant voltage method, and perturbation observation method. On its basis, in order to further improve the control accuracy and adaptability of MPPT under complex environment, related scholars have proposed several new MPPT algorithms, such as fuzzy algorithm and neural network algorithm based on the principle of intelligence, particle swarm optimization algorithm based on the principle of optimization, gray wolf algorithm and hybrid optimization algorithm based on multiple algorithms.This paper provides a comprehensive review of the topology, hardware architecture, mathematical models, and multiple DC-DC circuits of maximum power tracking PV systems; and reviews and summarizes the classical, intelligent, optimization, and hybrid types of maximum power point tracking methods, describing the principles, advantages, disadvantages, and applications of the different methods, respectively. Finally, an outlook on the future development and novel applications of maximum power point tracking methods for photovoltaic systems in aerospace is presented.

Coping behaviour and defense mechanisms of nursing staff depending on the level of severity of emotional burnout

Introduction. Health care professionals’ (HCP) occupational activity is associated with a highly intense psycho-emotional load. The purpose of the study is to identify the basic strategies of stress-overcoming behaviour in the cognitive, emotional, and behavioural spheres and the characteristics of defense mechanisms among nursing staff. Materials and methods. An online study of coping strategies and defense mechanisms (DM) was carried out using E. Heim’s questionnaire, and method “Life Style Index”. The respondents were divided into two subgroups depending on the severity of emotional burnout (EB). Research results are displayed as median, upper and lower quartiles, and extensive indicators. The comparison of indicators was carried out using the χ2 criterion, the relationship between characteristics was assessed using correlation analysis, and the structure of the DM was studied using the factor analysis. Results. Non-constructive and relatively adaptive copings predominate in the structure of cognitive strategies among HCP with an average and high level of EB. Adaptive copings predominate among emotional strategies in HCP with an average level of EB, and non-adaptive and relatively adaptive in HCP with a high EB level. Non-constructive copings were in the majority among HCP with a high level of EB. The dominant MD among HCP with an average level of EB are “denial”, “repression”, “reaction formation”, and “regression”, “intellectualization”, “reaction formation” in HCP with a high EB level. The distribution of the largest weight loads in the MD complex is not identical; the common feature is the presence of “regression”, “compensation” in the first factor, “repression”, “response formation” in the second, and “denial” in the third. Limitations. The study is one-stage, performed with the participation of one occupational group. Conclusion. Non-adaptive, relatively adaptive cognitive and behavioural coping strategies predominate in the structure of coping behaviour among HCP with different levels of EB. The combination of MD in HCP with different EB levels is a key subsystem of interrelated functioning protective mechanisms that ensure the preservation of mental homeostasis and the integrity of the individual.

Systematic analysis of microorganisms’ metabolism for selective targeting

Selective drugs with a relatively narrow spectrum can reduce the side effects of treatments compared to broad-spectrum antibiotics by specifically targeting the pathogens responsible for infection. Furthermore, combating an infectious pathogen, especially a drug-resistant microorganism, is more efficient by attacking multiple targets. Here, we combined synthetic lethality with selective drug targeting to identify multi-target and organism-specific potential drug candidates by systematically analyzing the genome-scale metabolic models of six different microorganisms. By considering microorganisms as targeted or conserved in groups ranging from one to six members, we designed 665 individual case studies. For each case, we identified single essential reactions as well as double, triple, and quadruple synthetic lethal reaction sets that are lethal for targeted microorganisms and neutral for conserved ones. As expected, the number of obtained solutions for each case depends on the genomic similarity between the studied microorganisms. Mapping the identified potential drug targets to their corresponding pathways highlighted the importance of key subsystems such as cell envelope biosynthesis, glycerophospholipid metabolism, membrane lipid metabolism, and the nucleotide salvage pathway. To assist in the validation and further investigation of our proposed potential drug targets, we introduced two sets of targets that can theoretically address a substantial portion of the 665 cases. We expect that the obtained solutions provide valuable insights into designing narrow-spectrum drugs that selectively cause system-wide damage only to the target microorganisms.

TRENDS OF THE MICROWAVE PHOTONIC RADARS

Today, the world's leading countries are intensively working on the development of new generation radars - microwave photonic radars. Microwave photonic radars make it possible to significantly reduce the mass and size characteristics of radar stations, to increase the information capability and range of target detection due to the reduction of losses in long communication lines when using optical fiber, to ensure high immunity due to the significantly lower sensitivity of optical-electronic equipment and fiber-optic lines of communication connection to external electromagnetic influences. Microwave photonics provides wide bandwidth, flat response, low loss transmission, multi-dimensional multiplexing, ultra-fast analog signal processing and immunity to electromagnetic interference. Radar implementation in the optical domain can provide better resolution, coverage, and speed performance, which would be difficult to implement with traditional electronics. The review article examines the state of development and system architectures of such photonic radars as optoelectronic hybrid radars, all-optical radars, multifunctional microwave photonic radar systems, distributed microwave photonic radars, software-defined radars, and cognitive radars. New technologies in this field and possible future directions of research are discussed. As an example, a broadband microwave photon radar reproduced on the basis of a microcircuit is considered. The broadband signal generator and receiver are built into the silicon crystal on the insulator. A high-precision distance measurement with a resolution of 2.7 cm and an error of less than 2.75 mm was obtained. Visualization of multiple targets with complex profiles has been implemented. But the performance of most integrated microwave photonic chips is not yet satisfactory for practical radar applications. Monolithic integration of key microwave photonic subsystems is also not mature enough for practical applications, so hybrid integration of devices fabricated on their optimal integration platforms is of practical interest. At present, indium phosphide, silicon nitride and silicon on insulator are the three leading platforms for photonic integration

Smart Irrigation Systems from Cyber–Physical Perspective: State of Art and Future Directions

Irrigation refers to supplying water to soil through pipes, pumps, and spraying systems to ensure even distribution across the field. In traditional farming or gardening, the setup and usage of an agricultural irrigation system solely rely on the personal experience of farmers. The Food and Agriculture Organization of the United Nations (UN) has projected that by 2030, developing countries will expand their irrigated areas by 34%, while water consumption will only be up 14%. This discrepancy highlights the importance of accurately monitoring water flow and volume rather than people’s rough estimations. The smart irrigation systems, a key subsystem of smart agriculture known as the cyber–physical system (CPS) in the agriculture domain, automate the administration of water flow, volume, and timing via using cutting-edge technologies, especially the Internet of Things (IoT) technology, to solve the challenges. This study explores a comprehensive three-dimensional problem space to thoroughly analyze the IoT’s applications in irrigation systems. Our framework encompasses several critical domains in smart irrigation systems. These domains include soil science, sensor technology, communication protocols, data analysis techniques, and the practical implementations of automated irrigation systems, such as remote monitoring, autonomous operation, and intelligent decision-making processes. Finally, we discuss a few challenges and outline future research directions in this promising field.

Research on the Optimization Path of Regional Innovation “Dualization” Effect Based on System Dynamics

Coordinated regional development is an important issue for China in the new era, and the influence of innovation ability on regional economic development is increasing, but the current regional innovation is characterized by an increasingly obvious “dualization” effect. In this paper, by constructing innovation efficiency, science and technology innovation, innovation culture, and innovation policy as the four key subsystems of regional innovation effect, and using system dynamics to establish a regional innovation effect model, Wuhan and Enshi as the representatives of central city and non-central city, selecting the data from 2014 to 2021, and adopting different parameters to simulate the evolution trend of the innovation effect, it is concluded that the growth rate of industrial enterprises and the intensity of R&D expenditures have increased, and the innovation effect has become more and more obvious, which is the most important issue in the new era of China’s development. It is also concluded that the growth rate of industrial enterprises and the intensity of R&D expenditure are the key factors influencing the innovation effect of central and non-central cities, and suggestions are made for optimizing the “dualization” effect of regional innovation.

A hybrid method of system dynamics and design of experiments for investigating the economic and environmental indicators of electricity industry

Electricity plays a pivotal role in the socio-economic development of nations. However, heavy reliance on fossil fuels for electricity generation, as observed in Iran, poses significant environmental challenges. This study proposes a novel hybrid methodology that combines system dynamics modeling and Design of Experiments (DOE) to examine economic and environmental indicators within Iran's electricity sector. The system dynamics model delineates four key subsystems: consumption, production, CO2 emissions, and power trade. By integrating DOE into this framework, various economic and environmental metrics are assessed for the year 2040. Through a comprehensive analysis of variable impacts on these indicators, optimal levels are identified to achieve favorable outcomes. Notably, variables such as the allocation coefficient of export income to capacity development and electricity export price emerge as critical determinants. Due to economic, environmental, and economic-environmental indicators, the most appropriate level of allocation of export income towards capacity development is estimated at 30, 10, and 20 percent, respectively. The study recommends allocating 80 % of the capacity development budget to renewable energy sources and 20 % to thermal power plants to optimize future conditions. In business as usual, the Export CO2 emission damage to export income index will be 0.19. In implementing the proposed scenario, according to the economic-environmental index, this value will decrease and reach 1.73E-06, which indicates the improvement of electricity export from the economic-environmental dimension. This research underscores the importance of balancing economic prosperity with environmental sustainability in electricity industry planning and policy formulation.

Integrating smart city and smart citizen into the digital economy

The study aims to enhance interactions within smart city infrastructures by systematically analyzing associated challenges and proposing strategic solutions. Employing methodologies such as system analysis, synthesis, optimization, modeling, and decision-making—while considering process uncertainties—we dissect the "smart city" and "smart city dweller" concepts, charting their evolutionary cycles. The results outline a structural framework for interactions between citizens, the state, businesses, and society, integrating key subsystems into a unified infrastructure. We also evaluate feedback mechanisms in urban projects like "Active Citizen" and "Garbage. Not.Net," and investigate smart city self-regulation using the Hurwitz criterion. These insights provide actionable guidance for assessing and advancing smart city projects.

Improvement of urban passenger ground transport structure based on coordinated development of subsystems

Introduction. The high importance of the urban passenger transport complex as a system determining the level of socio-economic development of the urban area is formulated. One of the systemic problems of the passenger transport complex of modern cities is the decentralization of planning and management processes, which determines the structural imbalance of key subsystems. The results of a literary review are presented, during which the works devoted to improving the efficiency of the transport process, the process of providing energy resources and the process of maintaining rolling stock in good condition are considered. The necessity of developing a methodology ensuring the coordination of the state and functioning of key subsystems of the transport complex is noted. The purpose of scientific work is defined, the list of solved tasks is defined.Materials and methods. The structural scheme of the urban passenger transport complex is given, a conceptual approach to solving the problem of coordinated optimization of its key subsystems is described. The following are defined: the target indicator, the objective function and its limitations that determine the optimization process being implemented. A brief description of methods for determining and mutual coordination of structural parameters of subsystems forming the material basis of the transport complex is given.Results. Theoretical provisions reflecting a conceptual approach to ensuring the efficiency of urban transport systems based on the coordinated development of subsystems, based on the magnitude of the proposed integrated efficiency indicator, are presented. Based on the data obtained from the results of analytical studies and field experiments, a calculation was made that made it possible to determine the structural parameters of the subsystems of the urban passenger transport system of one of the cities, ensuring the maximum value of the efficiency of transport activities provided by structural coordination of the subsystems that make up the material basis of the urban passenger transport system.Discussion. The solution of the tasks set is reflected, indicators reflecting the achievement of the research goal are indicated, confirmation of the hypothesis about the possibility of improving the efficiency of the urban passenger transport complex through the implementation of conditions ensuring the coordinated development and interaction of key subsystems is formulated.Conclusion. A generalizing conclusion about the solution of an important scientific, methodological and applied task – to increase the efficiency of the passenger transportation process along urban passenger transport routes based on ensuring the coordinated development of the subsystems that make up its material base is formulated.