Development Of Transport Network Research Articles

Influence of transport and logistics complex on the economy of the Samara Region

: Transport plays an important role in the development of the economy of the region and the country. Creating conditions for the efficient operation of transport and the provision of logistics services is one of the priorities for the Government of the Russian Federation. Transport and logistics complexes of the regions ensure the availability of transport services to the population, the movement of goods along transport corridors, the use of modes of transport, the possibility of warehousing and storage of goods. Thanks to the development of transport network and the smooth operation of transport processes, the functioning of the region's economy is ensured, which has a positive effect on the overall economic growth of the national economy. The paper reveals the concept of transport and logistics complex, its features and functions. A universal model of development of transport and logistics complex of the region is proposed, which takes into account the elements of transport and logistics complex and the directions of its development depending on territorial, resource, social factors and state regulation. The article substantiates the mutual influence of transport and logistics complex and the economy of the region. The article presents an econometric model for assessing the parameters of transport systems, which determines the interdependence of socio-economic indicators of the region and indicators of transport and logistics complex. In the study, the indicators of transport and logistics complex that have the greatest impact on the gross regional product are determined, and the equations of the gross regional product are obtained, in which the indicators that have the greatest impact on its formation are presented. The economic justification of the dependence of indicators of transport and logistics complex and the gross regional product is presented. The negative dependence of the region's economy on the number of road accidents, the operational length of highways with hard and improved pavement, as well as a paradoxical negative dependence on the turnover of motor transport has been revealed.

Land transportation management policy in tarakan public economy

In achieving the development of Tarakan City, the role of land transportation has an important and strategic position, so the policies need to be integrated into a single land transportation management policy and its impact on the economy of the people in Tarakan City. Various policies have been issued, to minimize the problem of land transportation, but no matter how good the policy will not work optimally as long as land transportation management is not improved. This study uses a descriptive-qualitative method because it seeks to find empirical facts with the right interpretation of the actions of existing phenomena. The results of the study: 1. The selection of land transportation in accordance with the characteristics of the City of Tarakan, and taking into account the needs and interests of all different levels of society, is able to support the effectiveness and efficiency of providing city public transportation services. 2. The development of an adequate land transportation network in Tarakan City has been able to increase the growth of the community’s economic sector, increase the value/price of land, the development of the small, medium, and large scale businesses, the occurrence of product specialization between regions, the concentration and urbanization of the population, especially in areas that have opened access roads and transportation. So that there is an increase in the income of the City of Tarakan accompanied by an even distribution of goods between residents, business fields spread over several areas. In addition, there has been an increase in the number and types of finished goods and services that consumers, government, and industry can produce.

СТАНОВЛЕННЯ ЛОГІСТИКИ НА РІВНІ МІЖНАРОДНИХ ЕКОНОМІЧНИХ ВІДНОСИН

The main stages of the development of world logistics and their influence on the formation of the world market of transport and logistics services are highlighted in the work. Modern trends in the development of logistics activities in the world's leading countries have been studied. Using the data of the logistics productivity index, the effectiveness of logistics management in different countries was evaluated. The development of the transport network has led to the strengthening of trade relations between the countries of the world, as well as the progressive processes of globalization, bring such a direction in logistics as international logistics to the fore. International logistics promotes the development of foreign economic activity of enterprises, optimizes purchasing, transport, warehouse and other processes. One of the most obvious reasons for the development and change of logistics is the growing demand for freight transportation due to the development of world trade. In particular, the globalization of production, which includes planning, supply, and trade, has led to distributed trade and the development of transportation networks. Globalization of industry and trade has not only provided many benefits, but also created many challenges. Companies that once served only local markets are now working with customers and consumers far from their main locations. At the same time, their supply and production capabilities are worldwide. As a result, their supply and distribution networks have become more complex and often uncertain. The task of managing and coordinating this global network of material and information flows has become a key priority for businesses as they strive to remain competitive in a constantly changing market. Logistics today has become an integral part of a new model of competition, as it takes into account the actions of competitors in a wide area. Logistics in the activity of any company significantly affects its competitiveness.

On the Feasibility and Efficiency of Self-Powered Green Intelligent Highways

(1) Background: The present development of transport networks focusses on the better management of fuels and energy and the preservation of the environment. To fulfill these desiderates, some countries have already reconsidered the deployment plans of new highways. This research studies the feasibility of less polluting, quasi-self-powered, intelligent highway infrastructure functional blocks accommodating functions for the future introduction of smart wireless sensor grids and connected autonomous vehicles. Subject of investigation are the possibilities of energy harvesting, and the intelligent management of resources. (2) Methods: the research investigates the main technologies for energy harvesting and recommends an optimal solution. It also proposes a framework for the intelligent, AI-based management of energy and the use of an optimized backup solution relying on 5G beamforming for energy supply of the local wireless sensing network devices; (3) Results: recommendations are made for the best energy harvesting solution, an architecture of the energy management system, an algorithm for energy management and backup solution based on 5G beamforming; (4) Conclusions: the research emphasizes the advantages and drawbacks for different solutions regarding energy harvesting in an intelligent green highway scenario with a focus on the infrastructure developed to accommodate future connected and autonomous vehicles. The term “intelligent highway” must be understood in the automotive industry to describe a network of roads where cars communicate with the infrastructure and among themselves for the purpose of avoiding congestion and performing the seamless operation of services, and a space where cars and infrastructure cooperatively process information for obtaining better road safety, less pollution, and efficient energy management. With the recent recession of conventional fuel availability and the increase in prices, a solution to improving autonomy of both cars and infrastructure might be welcomed.

MERITOCENTRIC MODEL OF SPATIAL DEVELOPMENT OF UKRAINE

The meritocentric model and changes in the methodological tools of the spatial development of the state are substantiated taking into account the in-depth analysis of the latest conditions, processes, and phenomena at different levels: philosophical, socio-mental, spiritual, humanitarian policy, economic activity, meeting the value needs of people, natural resources, administrative and legal processes and conditions of development, resettlement and spatial planning, and institutional and innovation processes. Without rejecting the analysis of official statistical information and traditional indicators and characteristics, attention is paid to the factors and characteristics that today increase the influence in the justification of decisions. The proposed meritocentric approach includes the analysis of the functional component but shifts the emphasis to research and evaluation of processes in the state, qualitative characteristics of its space, spatial transformations in Ukraine, bringing to the forefront knowledge, values, human potential, creativity, technology, and information. Using the meritocentric model, the spatial situation, challenges, and threats that arise are assessed, as well as the ways of spatial organization and development of Ukraine are identified. The integral properties of space are substantiated: functionality, ergodicity, uniqueness, dynamism, cyclicity of processes, synergy, and uneven development. The criteria for assessing the spatial situation were established - comfort, efficiency, environmental friendliness, safety. The main conditions and factors of development regimes of separate territories are determined: environmental, economic, social, administrative, etc. The major development regulators - functions, processes, values, norms – are outlined. The spatial development of Ukraine is formed on a hierarchically balanced network of growth poles, which is able to stimulate and support the socio-economic development of territories of all levels, increase the number of dynamic elements, and improve their quality characteristics. This applies primarily to the acquisition by the development poles of interregional and metropolitan features, as well as functions important for social development that ensure interaction with the global system, and strengthening the factor of innovation in the spatial development of the state. Substantiated conceptual provisions of the spatial development of Ukraine allowed offering the specific practical proposals: reservation of territories for urban development needs, development of transport network and transport systems, development of engineering infrastructure and life support facilities, tasks of placing new objects in the complex spatial structure of the state, preservation of the natural complex, etc.

Analysis of Coupling Coordination Relationship between the Accessibility and Economic Linkage of a High-Speed Railway Network Case Study in Hunan, China

The construction of a high-speed railway is important to the transportation network and economic development of a region. To further understand the interaction between accessibility and urban economic linkage in the context of high-speed railway networks, this study investigated the spatial and temporal changes in the coupling coordination between accessibility and economic linkage after a high-speed railway was opened in Hunan Province, China, using a coupling coordination model. The aim of this research is to explore the role that high-speed rail construction plays in regional development. Results indicate that (1) after the high-speed railway was opened, the accessibility of cities in Hunan Province has improved significantly, although the overall pattern has not changed by much. This is because it still shows a radiation pattern, with the Changsha–Zhuzhou–Xiangtan urban agglomeration at its core, which has subsequently spread to surrounding areas; (2) the improvement in urban accessibility has strengthened the economic linkages between cities, and the overall spatial pattern has gradually evolved from a point-axis pattern to a network pattern. The bipolar trend of total regional economic linkage has become more pronounced than what it was before; (3) the overall coordination degree of accessibility and economic linkage coupling in Hunan Province is primary coupling, and the phenomenon of regional polarization is prominent, thus showing the overall spatial pattern of ‘strong in the east and weak in the west.’ Further strengthening the construction of the high-speed railway in the northern part of Hunan, promoting the economic construction in the western and southern parts of Hunan, and building a spatial pattern of synergistic integration for Hunan’s continued transportation and economic development are suggested.

Revealing Spatial Spillover Effect in High-Tech Industry Agglomeration from a High-Skilled Labor Flow Network Perspective

Understanding the high-tech industrial agglomeration from a spatial-spillover perspective is essential for cities to gain economic and technological competitive advantages. Along with rapid urbanization and the development of fast transportation networks, socioeconomic interactions between cities have been ever-increasing, traditional spatial metrics are not enough to describe actual inter-city connections. High-skilled labor flow between cities strongly influences the high-tech industrial agglomeration, yet receives less attention. By exploiting unique large-scale datasets and tools from complex network and data mining, the authors construct an inter-city high-skilled labor flow network, which was integrated into spatial econometric models. The regression results indicate that spatial-spillover effects exist in the development of high-tech industries in the Yangtze River Delta Urban Agglomeration region. Moreover, the spatial-spillover effects are stronger among cities with a higher volume of high-skilled labor flows than among cities with just stronger geographic connections. Additionally, the authors investigate the channels for the spillover effects and discover that inadequate local government expenses on science and technology likely hamper the high-tech industrial agglomeration, so does the inadequate local educational provision. The increasing foreign direct investments in one city likely encourages the high-tech industrial agglomeration in other cities because of the policy inertia toward traditional industries.

Clean Transport Network in Nigerian Environment: Climatic Issues and Way Forward

There is dire need for adequate planning and digital innovations for developing clean transport networks in African urban communities for better climatic condition and sustainable green environment. This paper examines climatic actions and sustainability perspectives of clean transport network development in Nigeria. Methodology adopted included reconnaissance survey of transport facilities, literature survey, checking of available data and government policy on clean transport network in Nigeria. Other information was also obtained from interview of selected engineers and energy experts in transportation sectors. Finding revealed that there is need to improve on financial capacities and future investments in digital advancements for integrated solutions in infrastructural development, resilient communities and transportation facilities for environmental health and clean transport network. The transportation industry is crucial to meet climate change mitigation goals and the Sustainable Development Goals (SDGs). Because of the expanding demand for transportation from various economic sectors such as industry, energy, health, home, and commercial and other aspects, the demand for transportation is in increasing trend. All issues related to road construction, Public Private Partnerships, traffic management and contract adjudication in transport sector must be carefully resolved. The paper concluded that there is urgent need to strengthen the development of clean transport network in Nigerian environment especially on climate action and sustainability perspectives. The impact of sustainable applications of mobility cannot be over emphasized. Adequate engineering and sustainable green initiatives should be deployed for economic growth and clean transport network in Nigeria.

Rethinking regional wage determinants: regional market potential versus trade partners’ potential

ABSTRACT This paper reconsiders the relationship between individual wages and regional market access. We focus on Poland – a country that has experienced profound changes in market accessibility over the last two decades, first as a consequence of European Union accession in 2004, and second as a result of the unprecedented development of the major road transport network. Using data over the period 2000–15 we find that the positive relationship between wages and regional market access disappears after 2004. At the same time, individual wages begin to be positively correlated with the market potential of Poland’s main trading partners.

A new model of pavement maintenance, rehabilitation and reconstruction considering multimodal network development

The development of a multimodal transportation network to improve traffic efficiency is gaining extensive interest from researchers. Shifting road traffic to other modes of transport potentially saves travel-related costs. In particular, shifting freight traffic away from roads may reduce the deterioration of pavements, which influences the decisions related to pavement maintenance, rehabilitation and reconstruction requirements. However, there is little evidence on the impact of the shifting phenomenon on road maintenance requirements. This article presents a new highways agency-focused model that integrates pavement maintenance, rehabilitation and reconstruction decisions with development of a multimodal transportation network involving railway and seaway routes. The model is presented within an optimization framework and illustrates the application to a real-life case study. A greedy heuristic is modified by incorporating a threshold-based strategy, aligning the model with the highways agencies’ workflow, bringing with it the benefits offered by the optimization.

Perspectives of the Local Communities on the Development of Trans-Papua Road Infrastructure

Since the development of public and social infrastructure, such as road infrastructure, affects people's welfare, regional discrepancies in development are a key problem for Papua's infrastructure development. True, it's a top priority. When planning, executing, and overseeing road building, as it should be with the Trans-Papua route, public awareness and participation in the physical implementation of infrastructure development should be considered. The construction of the Trans-Papua Road drew a negative reaction and a huge amount of criticism from many social circles. A lack of community engagement in the development and implementation of the Trans-Papua Road project, as well as a public perception of ignorance, are accused of causing resistance and conflict. This research is an effort to understand better the awareness of specific communities, which may be used to design a participatory development strategy. The study's focus is on how the public views the Trans-Papua road's development from sociocultural, economic, and environmental viewpoints. The data was gathered through a survey and complemented with statistics from the local Central Statistics Bureau. The results showed that the community and stakeholders have different perspectives and understandings of the Trans-Papua road's construction, and it has been determined that the community should be involved in the planning and implementation of development measures based on the response of the local. This study demonstrates the importance of reducing community-government conflicts, especially those involving protected forest conservation, community empowerment, and transportation network development. The findings of this study can be used to provide recommendations for infrastructure development, particularly in locations where native communities are at threat of conflict. Doi: 10.28991/CEJ-2022-08-05-011 Full Text: PDF

Bus Stations in Annaba between Mobility and Attractiveness

Travel and transportation are seen as a necessity for our society and an essential component of social, economic and environmental development. In order to control the use of cars, especially in the city centre, urban planners and researchers are currently considering the question of the interaction between the public transport station, the train station and the city. Supported by the development and improvement of public transport networks, their importance is vital to reduce the ecological footprint of cities. To this end, the city of Annaba (located in the northern-east of Algeria) was chosen to study the relationship between service areas around public transport stations in the city centre. The development and growth of Annaba's agglomeration has had a major impact on travel levels and volumes. Field results state that the urban public transport station

Quantitative design method for anti-dislocation joints for tunnels passing through active faults

Given the rapid development of Chinese transportation networks, a substantial number of tunnels are under construction or will be built in mountainous areas. However, certain tunnels must be constructed through active fault zones and will be destroyed by the dislocation of active faults. In the present Chinese codes, three measures are suggested, including over cutting the cross-section, setting up anti-dislocation deformation joints, and strengthening the lining, but there is a lack of quantitative design method. In this study, we present a design method for anti-dislocation deformation joints to improve the anti-dislocation ability of the tunnel passing through active fault. First, formulae related to the design method for anti-dislocation deformation joints were proposed to consider different fault and tunnel parameters. Then, the proposed method and the formulae were validated by experimental model tests and numerical analyses. The experimental models were prepared according to the geological data of the Beichuan-Yingxiu fault in Sichuan Province, China. Models on 1:30 scale were subjected to fault dislocation tests in two cases: tunnels with ordinary linings and tunnels with anti-dislocation deformation joints. The test results show that the longitudinal strain of the lining with anti-dislocation deformation joints in the fault fracture zone decreased to 32% of that of the ordinary lining, and the transverse strain also significantly decreased. The maximum normal stress between the surrounding rock and lining was approximately 80% of the value for the ordinary lining. The lining with anti-dislocation deformation joints experienced less damage than the ordinary lining. The results of numerical calculation suggest that anti-dislocation deformation joints determined by the proposed method could effectively reduce the forces and bending moments of the lining. The proposed method for anti-dislocation deformation joints could be used to mitigate the seismic damage of tunnels passing through active fault zones.

Emphasis on Occupancy Rates in Carbon Emission Comparison for Maritime and Road Passenger Transportation Modes

Carbon emissions generated by the transportation sector represent a large part of total greenhouse gas emissions and are thus subject to various policies and initiatives for emission reduction and the development of sustainable transportation networks. Furthermore, passenger transportation generates a significant amount of emissions within this sector, especially in those countries with large and developed tourist sectors. Examples of such countries are Italy and Croatia, located in the Adriatic region, with a large portion of passengers between them being transported utilizing mainly maritime and/or road transportation modes. A proper analysis of the impact of these transportation mode choices on carbon emissions is essential to enable the selection of the optimal transportation mode for the particular transportation route with respect to the generated emissions. Therefore, this study determines the carbon emissions of the maritime and/or road transportation modes on the existing cross-border passenger transportation routes between Italy and Croatia. For the analysis, the Adriatic region was divided into three sections—the Northern, Middle, and Southern regions—each characterized by specific transportation routes defined by geographical features and distances. The results obtained from this research are presented as total carbon emissions for each transportation mode separately, based on each of three chosen routes in different regions. In addition, a carbon emission comparison between each transportation mode in regard to occupancy rate is performed and presented separately for each chosen route based on its specific distances, transportation means, and features. Finally, by providing an analysis of the existing state, this study can serve as a basis for Italy–Croatia cross-border passenger mobility network modernization and the introduction of new, sustainable, and multimodal transportation routes.

Application of multi layer perceptron neural network Markov Chain model for LULC change detection in the Sub-Himalayan North Bengal

Land use and land cover (LULC) changes may occur due to natural and anthropogenic activities. The present study area is situated in the Himalayan foothill region of north-eastern India and covers around 1507 km2. This area comprises Siliguri Municipal Corporation (SMC) and the surrounding five community development blocks. Geopolitical location of the study area makes it significant as it is exposed to the negative impacts of human and commercial activities across the region. The present study aims to identify the LULC classes in the study area from 1991 to 2021 with their change dynamics and predict the LULC changes in 2050. Apart from these, a perception study is also carried out to identify the major drivers of LULC changes in the study area. After delineating the study area, supervised classification of Landsat satellite images was done applying the maximum likelihood classification (MLC) tool for the year 1991, 2001, 2011 and 2021. Each image was classified into six LULC classes i.e., vegetation, plantation, agricultural land, built up, water bodies and fallow land and the overall accuracy (average) of the classified maps is 88.83%. The result shows that vegetation, agricultural land and fallow land are decreased from 23% to 20%, 35%–28% and 23%–19% respectively and plantation and built up areas are significantly increased from 14% to 24% and 2%–8% respectively. Then the land change modeler (LCM) under multi layer perceptron neural network Markov Chain (MLPNN-MC) model was applied to predict the spatio-temporal LULC changes from 2021 to 2050. The result reveals that in 2050 built up areas will be increased significantly and are expected to cover almost 12% of the total study area and only 24% of agricultural land will be left. The model was validated by Pearson's chi-squared test and found no significant distinguishes between simulated and actual classified maps. For identifying the main drivers of the LULC changes in the study area people's perceptions were taken from 25 focus group discussions (FGD) randomly over the area. The result reveals that physical and economic location, immigration, development of transport network, increasing multi-functional land use, expansion of small trade and enterprises, and cutting of trees for fuel wood and construction purposes are the key drivers of LULC change for this particular region. The change in the land surface in this Sub-Himalayan region is threatened by unplanned urbanization and unorganized land use practices so, crucial measures are needed indeed.

Spatiotemporal Analysis of Urban Green Areas Using Change Detection: A Case Study of Kharkiv, Ukraine

The contemporary globalized world characterizes the rapid population growth, its significant concentration in cities, and an increase in the urban population. Currently, many socio-cultural, economic, environmental, and other challenges are arising in modern cities, negatively affecting the state of the urban environment, health, and quality of life. There is a need to study these problems in order to solve them. Urban Green Areas (UGAs) are a part of the social space and a vital part of the urban landscape. They act as an environmental framework of the territory and a factor ensuring a more comfortable environment of human life. This study aims at substantiating the importance of the UGAs, identifying the spatiotemporal dynamics of their functioning, and transforming changes in their infrastructure given the expansion of their functions. This research was carried out as a case study of the second city in Ukraine, Kharkiv. The authors developed and used an original integrated approach using urban remote sensing (URS) and GIS for changes detection to evaluate the current state and monitor spatial transformations of the UGAs. We used several GIS platforms and online resources to overcome the lack of digital cadastre of the thematic municipal area of Kharkiv. This resulted in the present original study. The study analyses the dynamics of the spatial and functional organization of the UGAs according to the Master Plans, plans, maps, and functional zoning of the city for the period from 1867 to 2019. The peripheral green areas became important after the large-scale development of the extensive residential areas during the rapid industrial development in remote districts of the city. They provide opportunities for population recreation near living places. Central UGAs are modern, comprehensively developed clusters with multidisciplinary infrastructure, while the peripheral UGAs are currently being developed. The use of URS/GIS tools in the analysis of the satellite images covering 2000–2020 allowed identifying the factors of the UGAs losses in Kharkiv and finding that UGAs were not expanding and partially shrinking during the study period. It is caused by the intensive construction of the residential neighborhoods, primarily peripheral areas, infrastructure development, and expansion of the city transport network. Nonetheless, some sustainable trends of UGA functioning without more or less significant decrease could be proved as existing in a long-term perspective. The authors analyzed and evaluated changes and expansion of the UGAs functions according to modern social demand. The research value of this is the usage of different approaches, scientific sources, URS/GIS tools to determine the UGAs transformation in the second-largest city in Ukraine (Kharkiv), to expand and update the main functions of UGAs and their role in the population’s recreation. The obtained scientific results can be used to update the following strategies, programs, and development plans of Kharkiv.

Ice winter roads and crossings work evaluation in the regions of the Far North

This article evaluates the work of ice winter roads and ice crossings on the roads of the Far North. An analysis is made of the transport and performance characteristics of seasonal routes and their impact on the transport network and socio-economic development of the Republic of Sakha (Yakutia). Limiting development factors and priority areas for improving the transport network of the Republic of Sakha (Yakutia) and the transport hub of the Arctic zone of the Far Eastern Federal District is identified, which is a strategically important issue in making managerial and geopolitical decisions. The purpose of the study of seasonal traffic routes on roads is to form a database for the subsequent increase in transport accessibility in the regions of the Far North and the formation of a stable, ensuring uninterrupted transport connection in the transport hub of the Arctic zone of the Far Eastern Federal District. The transport link will make it possible to freely pass traffic flows on sections of roads with seasonal communication routes with minimal transport and time costs. The objectives of this study are to assess the operation of ice winter roads and crossings, identify constraints to development and identify priority areas for the development of the transport network. The road network of the Republic of Sakha (Yakutia) is the central transport hub in the Arctic zone of the Far Eastern Federal District with access to neighboring regions (Krasnoyarsk Territory, Irkutsk Region, Amur Region, Magadan Region, Chukotka Autonomous Okrug) through which transit freight and passenger transportation are carried out. The uninterrupted functioning of traffic flows both within the republic and transit flows of neighboring entities in the republic is limited in the off-season, due to seasonal routes of communication. During transitional periods, the movement of vehicles is suspended on approximately 70 % of the roads of the republic. The considered options for the development of the transport network of the Republic of Sakha (Yakutia) and the transport hub of the Far Eastern Federal District should take into account the seasonality of transport links and the specifics of the region. The targets specified in the Strategy for the Development of the Arctic Zone of the Russian Federation and Ensuring National Security until 2035, taking into account the specifics of the region, will achieve the development of trunk and transit roads in the Arctic zone of the Far Eastern Federal District and the Russian Federation as a whole.

МОДЕЛЬ ПРОГНОЗИРОВАНИЯ ТРАНСПОРТНОГО ПОТОКА НА ОСНОВЕ НЕЙРОННЫХ СЕТЕЙ ДЛЯ ПРЕДСКАЗАНИЯ ТРАФИКА НА ДОРОГАХ

In connection with the industrialization of modern society, the growth of the transport systemsof our country, an increase in certain necessary for the development of the needs of the citizensof our country, the number of vehicles of various types continues to increase every year veryfast, causing huge traffic jams on transport roads, especially in large cities and megacities. Thus,forecasting traffic flows is an important and necessary component of optimal traffic control inmodern conditions of transport network development. As a solution to this problem, this articleaims to analyze and describe the application of artificial intelligence methods, in particular neuralnetworks, which represent a modern approach to modeling in complex and nonlinear situationsthat arise when predicting a traffic flow model. The shown accuracy method is based on the developmentof a neural network to predict the daily traffic flow. The expected traffic flow is then comparedwith the actual dataset recorded on the road section and provided by the infrastructuremanager. In fact, neural networks are able to learn from past situations and predict future situationson the transport network. In this study, various neural network structures were examined, and the simulation results showed that the best predictions were obtained using the multilayerperceptron architecture, which has a good generalization system with a root mean square error of0.00927 with the current set of vehicles. The first part of the article is devoted to defining variousconcepts related to the current research area, including a review of the literature on traffic predictionand neural networks. The second part is devoted to describing the problem of traffic congestionusing forecasting problems and presenting the proposed solution method with an emphasis onartificial neural networks as a means of forecasting demand and its various structures. Then, numericalexperiments are illustrated by analyzing the forecast results after the formation and testingof various neural network architectures.

ANALYSIS OF THE STATE OF LOGISTICS SYSTEM MANAGEMENT IN UKRAINE

Introduction. In modern conditions, characterized by further reorientation of foreign trade relations in the direction of integration of the national economy into the European environment, the issue of assessing the effectiveness of logistics management at the enterprise level and at the level of Ukraine as a whole is becoming increasingly important. The integration of the world economy, the development of transport networks and the world market of logistics services, the deepening of the international division of labor – all this indicates the need to study the state of development of the logistics system. In the current conditions of the Covid-19 pandemic, in the field of trade, only those who have been able to adapt to the remote form of work, in which the logistics system is decisive, have a chance to survive. Purpose. The aim of the article is to study the state of logistics in Ukraine as a system and determine its properties for management both at the macro level – the company and at the macro level – in Ukraine as a whole, as well as analysis of the dynamics of the logistics system of Ukraine according to LPI. Method (methodology). Both theoretical and practical research methods were used to analyze this topic. In particular, at the first stage the analysis and synthesis of views of scientists on the logistics system and its properties were used. At the second stage – statistical methods of analysis and forecasting, extrapolation, which makes it possible to determine the prospects for the development of Ukraine's logistics system in the future. Next – is the formation of personal conclusions and recommendations based on the analysis. Results. The key results of the study are to determine the main characteristics of the management of the properties of the logistics system. The state of logistics system management in Ukraine has been studied, there is a tendency to decrease the share of railway transport, increase the share of road transport. The LPI Logistics Efficiency Index, used by World Bank specialists, is analyzed and its significance for future periods is predicted. Prospects for the development of the logistics system in Ukraine have been identified.

Троллейбусы с возможностью автономного хода и их влияние на проектирование маршрутной сети городского пассажирского транспорта

The article discusses the main causes of degradation of trolleybus systems in Russian cities in the last 30 years. The main advantages of new trolleybuses with the possibility of autonomous running are given and the main options for the development of the urban electric transport network through the use of rolling stock of this type are proposed.