Transport Operations Research Articles

Digitization of Macro-Logistics Systems in Ukraine

This article delves into the multifaceted realm of digitizing macrologistical systems, scrutinizing their nature, influencing factors, and emerging trends. It intricately explores how the integration of digital technologies empowers transport enterprises to deliver superior logistics services while concurrently curtailing costs. A comparative analysis meticulously dissects various facets of the macrologistical system, elucidating the interplay and correlation of its elements within the realms of commodity-money and contractual relationships. The study accentuates the pivotal role of the macro-logistics system in supply chain management.In scrutinizing Ukraine’s Logistics Performance Index scores vis-à-vis EU countries, the authors attribute the disparity to the enduring conflict. A notable European logistics market trend is identified: a surge in digitization investments by individual companies and the establishment of cohesive online platforms. The paper advocates for the integration of automation in transport logistics, particularly in the backdrop of a wartime economy.European standards for a contemporary transport management system are analyzed, culminating in the selection of the CargoClix logistics platform. The article expounds on the platform’s merits in adeptly digitizing the operations of transport and logistics enterprises, offering real-time tracking crucial for prompt responses amid wartime exigencies.The article concludes by substantiating findings with pertinent diagrams and tables. In essence, the digitization of macrologistical systems entails a holistic amalgamation of digital technologies, data analytics, and decision-making solutions for information management in logistics and supply chain operations. This transformative journey, leveraging technologies such as the Internet of Things, unmanned technologies, identification technologies, blockchain, big data, robotic systems, artificial intelligence, and neural networks, aspires to amplify efficiency, visibility, and coordination throughout the supply chain. This paradigm shift is pivotal for evaluating the efficacy of transport and logistics companies, determining their competitive stance in today’s market. Future research trajectories encompass formulating strategies for national companies operating in the domestic logistics market, identifying and implementing key competitive advantages, and devising measures and tools to ensure efficiency during wartime.

CO2 Compression and Liquefaction Processes Using a Distillation Column for the Flexible Operation of Transportation

Impurities in the CO2 stream should be removed to prevent eventual phase changes in CO2 transportation because a two-phase flow caused by the phase change in the pipeline necessitates additional overpressure and can induce equipment damage. In this study, CO2 compression and liquefaction (CCL) processes with a distillation column were used to remove non-condensable impurities and were compared with those with a flash. Three different feeds with a flow rate of 50.1 t/h (400,500 t/y) were supplied to the CCL processes and compressed to 65 bar to gauge pressure (barg) and 20 °C. Although the CO2 mixtures obtained through dehydration and flashing met the purity requirements for transportation and storage recommended in literature, the flash-separated CO2 product at 65 barg demonstrated the coexistence of gas and liquid phases, which restricted the temperature window for liquid CO2 transportation. When the distillation column was used instead of the flash, the operating temperature window at 65 barg widened by 3–6 °C owing to the high purity of CO2. However, the levelized cost of CO2 liquefaction (LCCL) increased by 2–4 $/t-CO2 varying with the feed purity because the distillation column consumed more cooling and heating duties than the flash. This study highlighted that a two-phase flow existed under certain operating conditions despite a high purity of CO2 (over 97 mol%), and the distillation column enhanced the operability of liquid CO2 transportation.

Performance Evaluation of a New Transport Operator in SCONE Monte Carlo Code

A novel transport operator, called “HELL”, has been developed and integrated into the SCONE Monte Carlo code. This alternative approach combines two commonly used tracking methods: surface-tracking and deltatracking. The unique aspect of this operator is its flexibility, allowing users to assign these tracking methods to different geometry universes according to their specific requirements. The methodology of HELL and its implementation in SCONE is presented and detailed. The performance and efficiency of the HELL have been evaluated through its application in two different cases. The first case involved a core model featuring involute surfaces, while the second case focused on a Pressurized Water Reactor (PWR) application. The results demonstrated that HELL effectively eliminates the limitations typically associated with surface-tracking in complex geometries and delta-tracking in materials with localized heavy absorbers. This makes it a valuable tool in nuclear physics simulations and computations. The HELL method can significantly reduce the calculation time required for such scenarios, and can be widely applied to Monte Carlo modelling in reactor physics.

МЕТОДИКА ИНТЕГРАЦИИ ПРОИЗВОДСТВЕННО-ТЕХНИЧЕСКИХ БАЗ ОБСЛУЖИВАНИЯ И РЕМОНТА ВЕДОМСТВЕННЫХ АВТОМОБИЛЕЙ

The relevance of this study lies in the fact that motor transport services of federal ministries and departments of the Russian Federation, agencies subordinate to them, law enforcement and supervisory authorities are carried out by departmental road transport. The operation of departmental road transport in modern conditions is based on documents developed for public road transport. In some cases, departmental acts on the organization of the work of vehicles and personnel in relation to the functions and tasks of the relevant department are not systematically used. The operation of departmental road transport is characterized by excessive dispersion of regional production and technical bases for the maintenance, maintenance and repair of a specialized fleet, as a rule, assigned to individual institutions. As a result, more material and technical resources, rolling stock and personnel are involved in the transportation process of departmental road transport than at public road transport. Increasing the efficiency of departmental road transport consists in the consolidation and centralization of regional production and technical bases, as well as in rationing the resource provision of the transport process. The subject of the study is the regularities of the functioning of the production and technical bases units of the departmental structure. The purpose of this study is to increase the efficiency of departmental road transport operation due to the territorial integration of production and technical bases. To achieve this goal, it is necessary to solve a number of tasks, the specifics of which are determined by the features of a specialized departmental road transport on the example of the divisions of the regional Department of the Federal Penitentiary Service for the Rostov region, concluded: a) in the collection, grouping and processing of statistical information from divisions by type, model, number and costs of operation and performance of transportation in the field of transport by specialized rolling stock; b) determination by geographical coordinates of the location of divisions in the region; c) the compilation of an adjacent matrix of distances between divisions. The methodology of the study includes a methodology for the territorial integration of production and technical bases of regional units of departmental road transport based on the «center of gravity» method, taking into account the costs of operating a specialized fleet and determining the head production and technical bases. The obtained research results can be used for other departments, divisions, organizations and services of departmental structures in which a specialized fleet is involved.

ФОРМИРОВАНИЕ ПРОФЕССИОНАЛЬНЫХ НАВЫКОВ СПЕЦИАЛИСТОВ ПО ЭКСПЛУАТАЦИИ ТРАНСПОРТА В СООТВЕТСТВИИ С ТРЕБОВАНИЯМИ РЫНКА ТРУДА

The article presents the experience of automated analysis of the corpus of job advertisements relevant for graduates of the training direction 23.03.03 «Operation of transport and technological machines and complexes». As part of the study, 20516 vacancies in the automotive business and related sub-sectors were collected and analyzed. The location of vacancies, the aver-age salary are determined, the most frequent requirements for applicants are identified. The results of the analysis are correlated with the main provisions of the educational program, on the basis of which conclusions are drawn about the need for systematic consideration of employers' require-ments to improve the quality of training specialists.

Государственная поддержка развития транспорта на современном этапе: влияние на транспортный комплекс Дальнего Востока

The article studies the methods of state stimulation of transport development at the present stage. Under the conditions of the «Turn to the East» and geopolitical changes occurring since 2022, Russia's foreign trade flows are being reoriented from European to southern and eastern directions. This has increased the workload of the Far East transportation complex, which provides Russia's access to the markets of Asia-Pacific Region countries (primarily PRC). The increasing scale of cargo flows revealed imbalances in the operation of transportation and aggravated the issue of infrastructure development. The state has developed a system of measures to stimulate the development of transportation. The article suggests their grouping based on the object of influence, market segment and form of regulation. It has shown that the state uses various mechanisms to stimulate private investment in infrastructure development: public-private partnership (PPP), infrastructure bonds, budget loans, etc. The article presents the application of public-private partnerships (PPP) in the Far Eastern Federal District (FEFD) in the field of transport: 16 projects are being implemented, the total investment capacity of which amounts to 223.0 billion rubles. The analysis of the project structure allowed to identify their peculiarities. PPPs are used to implement projects significant for the integrated development of transport in the macro-region, characterized by a significant investment capacity and a long payback period. Examples of such projects are the construction of the cross-border road bridge Blagoveshchensk (RF) - Heihe (PRC), modernization of the international airport «Khabarovsk» (New) named after G. I. Nevelskoy. In general, when implementing PPP projects in the field of transportation, the key role remains with the state, which degree of participation is increasing due to a number of factors: 1) increase in the number of projects in which public sector companies (established by government agencies or development corporations) act as concessionaire; 2) expansion of support mechanisms applied.

Digitization of Accounting in the Innovative Management of Autonomous Robotic Transport

The digitization of economic processes is advancing across all sectors, contributing to the development of Industry 5.0. A key element of this fifth industrial revolution is the activation of robotic economic activity. Recently, advancements in autonomous robotic transport have been implemented in practice. However, both the practical application of unmanned vehicles and scientific developments in this field have shown low efficiency in the implementation of projects for the autonomous transportation of goods and passengers. This inefficiency stems from insufficient attention to the accounting and management aspects of autonomous robotic transport operations. The scientific and practical novelty of this study lies in improving accounting and management practices in the context of digitalization, specifically by addressing the fundamental transformations in economic processes caused by the use of autonomous vehicles. The key organizational factors influencing accounting for robotic transport operations include the type of transported objects, fuel and energy resource consumption, human involvement, the capacity and number of goods (or passengers) transported at one time, continuous operation, maintainability, software update capabilities, autonomous interaction with other transport means, and communication and information sharing with customers of transport services. A method for digitizing the accounting of fuel and energy costs, personnel wages, social activity deductions, depreciation, operational costs, and other costs related to the functioning of autonomous robotic transport has been developed. This method leverages IoT data and considers the organizational prerequisites mentioned. The use of two-dimensional calculation units, such as "kilogramkilometre" and "passenger-kilometre" units, for the digitalization of cost calculations for passenger and cargo transportation via autonomous robotic transport has been proposed. Additionally, the procedure for determining the cost of transport services for end users and the formation of information arrays for the innovative management of transport enterprises has been refined. The elimination of organizational restrictions in managing autonomous transport operations, alongside the need for information synchronization between transport enterprises and other business entities within the information ecosystem of a smart city, highlights future research prospects in this area.

Multimodal logistics chains for international transportation of dangerous and perishable goods

The overview article delves into the critical area of emergency logistics and supply chain management. Analyzing research conducted by experts in the field, the authors explore the potential benefits and challenges associated with the use of multimodal and intermodal international transportation of dangerous and perishable goods, and assess the potential challenges as well as the importance of emergency logistics for disaster relief and recovery. It is noted that traditional unimodal transport systems may be insufficient for swift and efficient response to emergency situations, which makes the integration of multimodal and intermodal chains an increasingly attractive alternative. Emergency logistics play a key role in ensuring the uninterrupted flow of goods during crises and disasters, especially when it comes to dangerous and perishable goods. One of the purposes of this article is to highlight the importance of vehicle diversification during such disasters. Multimodal transport involves the use of several modes of transport, such as road, rail, sea and air, under the direction of one transport operator or several carriers that cooperate in a coordinated manner. On the other hand, such transportation involves the use of standardized containers that can be easily moved between different modes of transport, offering increased flexibility and cost-effectiveness. The article provides an overview of the challenges faced by emergency logistics and the potential problems when transporting dangerous and perishable goods. It emphasizes the importance of building robust supply chains that can withstand disruptions and provide rapid response to effectively mitigate risks. The need to increase the stability and efficiency of emergency logistics chains is emphasized. The study aims to shed light on which approach offers the best balance between timeliness, adaptability and overall efficiency in the international transport of hazardous materials and perishable goods. The article refers to case studies and real-world cases of emergency logistics operations where multimodal and intermodal transport systems have been successfully applied. These cases highlight their practicality and effectiveness in mitigating potential disasters and minimizing the negative impact of accidents such as spills, explosions or spoilage, and the consequences of war. The authors note the special relevance of multimodal container transportation of dangerous and perishable goods, especially during the war that Ukraine is waging against russian aggression, since in these conditions the principle of logistics “just in time” is most in demand, and modern containers allow to ensure complete safety, speed and accuracy, and in necessary cases, the secrecy of the delivery of goods in the conditions of hostilities and other emergency situations.

Optimization of transport constraints and quality of service for joint resolution of uncertain scheduling and the job-shop problem with routing (JSSPR) as opposed to the job-shop problem with transport (JSSPT)

To better meet the qualitative and quantitative requirements of customers or relevant sector managers, workshop environments are implementing increasingly complex task management systems. The job shop scheduling problem (JSSP) involves assigning each task to a single machine while scheduling many tasks on different machines. Finding the best scheduling for machines is one of the challenging optimizations of difficult non-deterministic polynomial (NP) time problems. The fundamental goal of optimization is to shorten the makespan (total execution time of all tasks). This paper is interested in the joint resolution of scheduling and transport problems and more particularly the Job-shop problem with Routing (JSSPR) as opposed to the Job-shop problem with Transport (JSSPT). These two problems are modeled in the form of a disjunctive graph. For the JSSPT, the solution to the transport problem is not linked to any quality of service (QoS) criterion and the solution is therefore often semi-active. The Job-shop with Routing explicitly considers transport operations and uses algorithms from the transport community to solve the transport problem. It is shown that the routing part of the JSSPR is a problem of the vehicle routing family and of the Pickup and Delivery Problem family. QoS in the JSSPR is defined by the duration of tours, the duration of transport of parts and the waiting time for them. A new evaluation function – named Time-Lag Insertion Heuristic (TLH) – is proposed to evaluate a disjunctive graph by simultaneously minimizing the makespan and maximizing the quality of service. Thus, the solution obtained is not semi-active, but a compromise between the different criteria. This evaluation function is included in a metaheuristic. Our numerical evaluations demonstrate that, on the one hand, the TLH evaluation can find almost optimal solutions regarding the QoS criterion; and on the other hand, the TLH evaluation is not very sensitive to the order of insertion of the maximum time-lags during the different minimization steps.

Optimization of Effective Working Hours for Coal Transportation from Rom to Port: Study at Pt. Maruwai Coal Central Kalimantan

Adaro Mineral Indonesia is one of the pillars of Adaro's mining business which focuses on coking coal mining in Central Kalimantan, planning to increase its coal production. The aim of this research is to optimize effective working hours for transporting coal from ROM to the port. This is done to increase the low productivity of coal transportation activities from mines to ports, which will bring benefits in the form of increased operational efficiency. This research was conducted quantitatively. The data used is primary data and secondary data. Primary data in this research was obtained from direct observations in the coal transportation area from the ROM of coal products to port, which includes cycle time, rain duration, shift changes, road conditions. The research method was carried out quantitatively. Optimization of coal transportation can be improved by improving delay parameters, improving communication between transportation operators, carrying out real time communication and data validation, expanding the Change Shift Area, fulfilling man power, making strip maps and road worthiness tests, making work plans, as well as procurement of gravel material and hauling road maintenance as well as All Weather Road conditions.

The COVID-19 lockdown induced changes of SO2 pollution in its Human-made global hotspots

Sulphur dioxide (SO2) is a hazardous air pollutant, which is mostly emitted from burning of fossil fuels, and has an adverse impact on the human health and ecosystem functioning. The COVID-19 natural anthropause (lockdown) provides a great opportunity to understand the changes in SO2 pollution across the globe, as there was a temporary standstill for most human activities. Therefore, we analyse the changes in global SO₂ pollution during lockdown compared to pre-lockdown and identify its hotspots driven by human activities using satellite measurements, reanalysis data and emission inventory. We observe a decline in SO₂ pollution of about 2.21 % in its global average, −21.05 % in Indo-Gangatic Plain, −16 % in East China, −7.67 % in East United States of America, −3.99 % in Western Europe and −3.85 % in Middle East owing to the halt in human activities such as industrial and transport operations, as found from the emissions inventory. There are point and aerial hotspots of SO₂ pollution across the globe (e.g. cities or industrial units), which also show a decrease (20–30 %) in SO₂ pollution during the anthropause. Fossil fuel burning in thermal power plants is a major source of SO2 pollution, and it has declined notably (1–12 %) during the lockdown in the major coal consuming countries such as the United States, China, Japan, Canada, Brazil, Australia, France, Germany, Spain, Italy and the United Kingdom. Therefore, lockdown provides a clear understanding of global human-driven hotspots of SO₂ pollution and their changes, which would help us to make better and effective air pollution mitigation strategies.

Field Measurement of Dust Concentration on Open-pit Coal Mine Truck Transportation Roads and Numerical Simulation of Dust Patterns

Dust generated by open-pit coal truck transportation is one of the main sources of pollution, adversely affecting road visibility and the surrounding air quality during transportation operations. To investigate the distribution patterns of transport dust on coal quality roads in open-pit coal mines, we conducted on-site measurements of transport dust pollution in a coal mine in Xinjiang, China. We also used numerical simulation software to simulate the distribution patterns of dust under different truck speeds. The results indicate that dust pollution on the coal quality road surfaces within the open-pit coal mine exceeds national standards. The concentration of dust behind the trucks at different speeds can be categorized into the following zones: vortex zone, rapid descent zone, and stable zone. The peak dust concentration occurs around 1.5 meters behind the rear of the trucks. Furthermore, the dust concentration behind the trucks follows an exponential decay pattern with increasing height and longitudinal distance.

Gender-Based Service Quality Evaluation of Multimodal Public Transportation in DKI Jakarta

In DKI Jakarta, despite the extensive infrastructure development, there has been a significant decline in the usage of public transportation. This can be attributed to the inadequate quality of the services provided. Various studies have highlighted the significance of evaluating the quality of service in public transportation to ensure passenger satisfaction and attract new users. However, there is no agreement on the most effective methodology and suitable indicators for conducting such analyses. In addition, there is a growing recognition of the importance of promoting gender equality in multimodal public transportation (MMPT) and understanding gender differences and perceptions of MMPT services. A case study was carried out in DKI Jakarta, the capital of Indonesia, to analyse the influential indicators of the quality of MMPT. The analysis used the Importance Performance Analysis (IPA) combined with the Tarrant and Smith procedure. These indicators greatly impact the perception of MMPT services for both genders. Safety against crimes, facilities for disabled people, pregnant women, and senior citizens, announcements in the required language, clarity in travel-related information, and availability of seats inside vehicles are the most influential indicators of the quality of the services. However, there are significant differences in how women and men perceive the importance and performance of indicators related to seating availability, coordination between transport operators, and passenger information.

Modern geoinformation technologies and their use in transport management

The article is devoted to the analysis of the use of modern geoinformation technologies in the field of transport management. The author reveals the content and principles of transport management considering the use of modern geoinformation technologies. The author examines such geographic information technologies as self-driving systems, GPS systems, on boarders and automotive radars. The author concludes that these technologies make it possible not only to manage transport and ensure transport security, but also to optimize the process of managing transport infrastructure and transport operations. They can also play a role in the development of branding for modern transport.

Environmental pollution with gaseous pollutants in the operation of mining machines at the open pit

Atmospheric pollution at the open pits depends on the annual production and intensity of emissions the harmful gases and dust, that is, development the individual phases in overburdening and obtaining the useful mineral resources. The gas and dust emissions at the open pits occurs as a consequence of technological processes aimed at obtaining the mineral resources, most often during loading and transport operations. In addition, the pollution also depends on the terrain configuration around the open pit and climatic parameters. Therefore, it can be considered that the entire area of the open pit is a source of environmental pollution. This paper will present the results of pollution level by gaseous pollutants at the open pit, caused by the operation of mining machines.

ЦИФРОВОЙ ДВОЙНИК ЭЛЕКТРОПРИВОДА ГРУЗОВОГО ТРИЦИКЛА ДЛЯ ТРАНСПОРТИРОВКИ СЕМЯН

One of the most important directions of the development of the agricultural sector is the renewal of tractor and road transport for agricultural purposes, which is due to the predominance of manual labor on loading and unloading and transport operations, increased labor intensity of processes. The methods of selecting the optimal characteristics of vehicles are focusing on the average power characteristics, as well as the average values of the economic indicators of a particular vehicle. The paper is devoted to the study and optimization of the parameters of an electric cargo vehicle depending on the set conditions of the transport task of an agricultural enterprise by the method of simulation modeling. (Research purpose) The research purpose is to obtain optimal traction-power and energy-economic characteristics of the vehicle through simulation of the performance of the transport task of harvesting breeding grain at an agricultural enterprise. (Materials and methods) Conducted a study of simulation simulation of the transport cycle for harvesting breeding grain by a vehicle to identify the optimal parameters of the electric drive and batteries. It was determined that the simulation model contains the parameters of the transport cycle in the form of the distances of the track segments, the required speed of movement, the characteristics of the road surface, as well as the characteristics of the vehicle chassis and the weight with the load. Traction-speed and energy-economic characteristics of an electric vehicle were chosen as objects of research. (Results and discussion) The result of the simulation simulation was the dependence of the required power of the electric motor, taking into account its overload capacity, on the conditions of external factors of the transport cycle. (Conclusions) The analysis of the battery discharge made it possible to establish a minimum capacity of 80 ampere-hours for the full performance of the entire transport task of harvesting breeding grain. The function of overloading the motor twice for a given time of two seconds is justified in order to reduce the required rated power of the electric motor.

Efficient operation of demand-responsive transport (DRT) systems:Active requests rejection

Demand-responsive transport (DRT) is getting more attention in the public sectors. In DRT systems operated by public sectors, providing a good and equal service to the public is more important than maximizing the revenue. This brings additional challenges to the operation of DRT systems. In this study, we explore the idea of actively rejecting requests in DRT systems based on the alternative travel options, such as conventional public transport. By rejecting requests that have good alternatives, we can focus on the passengers without suitable alternative travel options. This can reduce the fleet size of DRT systems while maintaining a good and fair service. To explore the impact of this idea, we develop and implement an active request rejection mechanism in an agent-based transport simulation framework and carry out simulations on a real-world scenario. Results have shown that a fleet size reduction of around 20% can be achieved, without compromising the overall mobility level in terms of travel time, if the active request rejection mechanism with dynamic threshold is used. Furthermore, results have also shown that when a DRT system is overloaded, it may break down, and the service quality will suffer a significant drop. The active request rejection mechanism can prevent this from happening in some cases.

ОРГАНІЗАЦІЙНО-ЕКОНОМІЧНІ МЕХАНІЗМИ РОЗВИТКУ ВНУТРІШНЬОГО ВОДНОГО ТРАНСПОРТУ ПІД ЧАС ВІЙСЬКОВОГО ВПЛИВУ В УКРАЇНІ

In the study, the authors considered peculiarities and prerequisites for development of inland water transport in Ukraine, its role and organizational& economic mechanism for development of inland water transport in the modern military transport system of Ukraine. Inland water transport under influence of active hostilities on the territory of Ukraine should be integrated with other types of transport system: railway, road, to create a cyclical transport logistics system. This mechanism can increase an efficiency and reliability of transport services and reduce costs for related business activities. As the inland water transport plays an important role in the transport system, Ukraine seeks to expand its export markets, its importance will continue to grow under conditions of active hostilities. Therefore, understanding the shortcomings and development trends of the national system of inland water transport will contribute to the process of inland water transport renewal in Ukraine. The goal of the study is to analyse prerequisites for development of inland water transport of mechanisms that take into account the specifics of inland water transport based on their comprehensive analysis in order to conceptualize specific organizational&economic mechanism for its functioning during military influence in Ukraine. In Ukraine, the correspondent risks should be considered in managemental, commercial and industrial aspects of inland water transport in a complex manner. The study analyses the current state of inland water transport and its contribution in ensuring transportation of foreign trade goods within the territory of Ukraine. The specifics of production processes of inland water transport are characterized, and in particular, the influence of weather and climate conditions on them, a significant number of stakeholders involved in the transportation process and the need to obtain a large number of approvals in a realm of inland water transport services and cargo in the port. All this together determines the practical impossibility of clearly defining the time parameters of transport processes in shipping. As a result of the analysis of the commercial aspects of the operation of inland water transport.

Моделирование объемов отправлений городского общественного транспорта

Organizing the effective operation of urban public transport and planning the development of transport infrastructure requires predicting the volume of passenger traffic. In particular, it needs to predict the volume of passenger departures from stopping points, which depends on a large number of different factors, such as the population density near the stopping point, the types of transport departing from it, the number of routes passing through it, etc. In this article, we propose modeling outgoing passenger traffic based on a regression approach. To test the approach and determine the most appropriate specifications for regression equations, data on passenger boarding volumes at bus stops in Ekaterinburg, as well as open data from the database of apartment buildings, were used.

МОДЕЛЮВАННЯ ФІНАНСОВИХ ПОТОКІВ В МЕРЕЖІ МАРШРУТІВ НА ПРИКЛАДІ ЗАЛІЗНИЧНОГО ТРАНСПОРТУ

Transport is an important element of the functioning of society and its economic condition. The problem of researching transportation systems is the cost of such research. It is impossible to conduct an experiment to study changes in passenger flows on routes when the cost of traveling on the route itself or on competitors' routes changes, because such experiments will have their own monetary impact on society and on transport enterprises. It is also difficult to conduct experiments on the state of the system when changing rolling stock, which is also very expensive given the existing scientific interest. A significant cost for the financial burden on transport enterprises or societies can significantly affect the financial flows of the manufacturer or society, and therefore such experiments and conclusions from experiments are not fully conducted, which can lead to uncertainty of actions at certain stages of the project development for the operation of a vehicle on the route. To prevent the occurrence of uncertainties, scientists have proposed modeling certain processes of the route operation. The disadvantages of this approach are that its actual implementation is limited to simulating a certain set of factors. As a result, the obtained models largely consider one route and the impact of one or two factors on it. The proposed model of the transport route network takes into account the interconnectedness of the simultaneous operation of many types of transport and their routes in the network. For the first time, an integrated approach to the study of transport processes is proposed, taking into account the dependence of economic indicators on technical ones and vice versa. The modeling of the route network of the entire region of Ukraine with simultaneous operation of water, air, road and rail transport is carried out.