Transportation Network Of City Research Articles

Development of an Intelligent Drone Management System for Integration into Smart City Transportation Networks

Drones have experienced rapid technological advancements, leading to the proliferation of small, low-cost, remotely controlled, and autonomous aerial vehicles with diverse applications, from package delivery to personal transportation. However, integrating these drones into the existing air traffic management (ATM) system poses significant challenges. The current ATM infrastructure, designed primarily for traditionally manned aircraft, requires enhanced capacity, workforce, and cost-effectiveness to coordinate the large number of drones expected to operate at low altitudes in complex urban environments. Therefore, this study aims to develop an intelligent, highly automated drone management system for integration into smart city transportation networks. The key objectives include the following: (i) developing a conceptual framework for an intelligent total transportation management system tailored for future smart cities, focusing on incorporating drone operations; (ii) designing an advanced air traffic management and flight control system capable of managing individual drones and drone swarms in complex urban environments; (iii) improving drone management methods by leveraging drone-following models and emerging technologies such as the Internet of Things (IoT) and the Internet of Drones (IoD); and (iv) investigating the landing processes and protocols for unmanned aerial vehicles (UAVs) to enable safe and efficient operations.

Numerical Simulation of Double-Row Retaining System with Different Piers

With the rapid expansion of foundation pit excavation areas due to the burgeoning underground transportation networks in large cities, spatial combined double-row retaining structures have become indispensable for ensuring stability and minimizing deformation. Integrating piers into these structures enhances stiffness; however, the research on this topic is limited. This study investigates the Chisha Metro project, which utilizes a double-row support structure with added support piers to improve overall stiffness. Numerical simulations are employed to model the foundation pit and analyze the stress distribution and deformation of double-row retaining systems with T-shaped, cross-shaped, or square-shaped piers. The results demonstrate that the retaining system, after the introduction of piers, exhibits reduced maximum horizontal displacement and surface settlement of soil, and indicates spatial characteristics and the transformation from a planar problem to a spatial problem. Furthermore, in specific geological conditions, the T-shaped support pier proves to be more effective in connecting the front and rear support structures compared to the cross-shaped and square-shaped support piers, which mainly reinforce the soil without connecting the support structures. This research provides valuable insights for improving design and construction practices in foundation pit engineering.

Artificial intelligence‐enabled smart city management using multi‐objective optimization strategies

AbstractThis article outlines an integrated strategy that combines fuzzy multi‐objective programming and a multi‐criteria decision‐making framework to achieve a number of transportation system management‐related objectives. To rank fleet cars using various criteria enhancement, the Fuzzy technique for order of preference by resemblance to optimum solution are initially integrated. We then offer a novel Multi‐Objective Possibilistic Linear Programming (MOPLP) model, based on the rankings of the vehicles, to determine the number of vehicles chosen for the work while taking into consideration the constraints placed on them. The search for optimal solutions to MOPs has benefited from the decades‐long development of classical optimisation techniques. As a result of its potential for use in the real world, multi‐objective optimisation (MOO) under uncertainty has gained traction in recent years. Recently, fuzzy set theory has been used to solve challenges in multi‐objective linear programming. In this paper, we present a method for solving MOPs that makes use of both linear and non‐linear membership functions to maximize user happiness. A hypothetical case study of transportation issue is taken here. This innovative approach improves management for the betterment of transportation networks in smart cities. The method is a more robust and versatile approach to the complex difficulties of contemporary urban transportation because it incorporates the TOPSIS method for vehicle ranking and then using Distance Operator and variable Membership Functions in fuzzy goal programming operation on the selected vehicles. The results provide valuable insights into the strengths and limitations of each technique, facilitating informed decision‐making in real‐world optimization scenarios.

A climate-impact-related transport infrastructure risk assessment for the City of Cape Town

Climate-related severe weather events pose a threat to transport infrastructure. Damage to transport infrastructure, in turn, threatens access to socio-economic opportunities (such as employment, healthcare and education). The aim of this paper is to quantify the volume of transport infrastructure at risk of weather-related hazards in the City of Cape Town, and to estimate the direct economic value thereof. Geographical Information Systems are used to overlay areas that are highly exposed to climate-related threats on the city's transport network and infrastructure, enabling the identification and quantification of the volume of infrastructure at risk. Cost estimates for the rehabilitation or reconstruction of this infrastructure obtained from various experts in the South African transport arena are applied to calculate the economic value of the infrastructure at risk. In total, the transport infrastructure at high risk in the case city is valued at R20 billion. Fires and coastal flooding pose the greatest threat. The analysis presented can inform planners and decision-makers on how to improve the resilience and where to reduce the vulnerability of transport infrastructure in the city.

Municipal Transport Route Planning Based on Fair Mobility Budget

Abstract A series of initiatives have been adopted in the European Union to address greenhouse gas emissions and establish a society that is resilient to climate change. In response to these initiatives, the implementation of mobility budgets offers a more precise strategy for addressing carbon footprints associated with travel. Prioritizing localized carbon footprint control, mobility budgets are calculated and customized according to distinct regions, goals, and target demographics. When prioritizing the mobility budget as the central objective in municipal transport route planning, the focus should encompass principles of fairness and equity in travel. This entails considering factors such as accessibility, variety of mobility choices, inclusivity of transportation modes, and social justice. Therefore, this article aims to formulate an enhanced activity modelling methodology that would aid data-driven decision-making in municipal transport route planning, while upholding the principles of travel fairness and equity. Тhe results obtained from scrutinizing data related to public bus services and mobile networks are presented. The evaluation of Jelgava’s city transportation network to facilitate mobility budget reduction is undertaken, and this assessment is based on an analysis of data derived from a survey on public transport use coupled with an examination of the city’s mobility budget. The research presents the communication challenges that municipalities will face in planning and implementing changes that are needed to meet the greenhouse gas emission targets and outlines the possible use of visualization tools for modelling, explanation and communication of scenarios.

Exploring the Factors Influencing Traffic Accidents: An Analysis of Black Spots and Decision Tree for Injury Severity

This research aimed to examine the spatial distribution of road traffic accidents in Budapest, Hungary. The primary objective was to identify the factors associated with traffic accidents on the city's transportation network and to determine the locations of the most frequent accidents during peak and off-peak hours. A quantitative methodology was employed in this study, utilizing a dataset of recent accidents that occurred between 2019 and 2021, classified into peak and off-peak incidents. The data was analyzed using Python software and Quantum Geographic Information System (QGIS) tools for big data analytics. These programs enabled the creation of spatial maps of the study area and the identification of accident spots based on latitude and longitude information. A decision tree classification approach was used in the machine-learning method implemented with Python software. Additionally, the dataset file was uploaded to QGIS, which applied the heatmap (Kernel Density Estimation) algorithm to identify accident hotspots. The study findings revealed that the city center was the most common location for accidents overall, with peak and off-peak times, lanes, and days of the week investigated as potential contributing factors. The target variable was the number of accidents involving serious and minor injuries, which were found to be significantly associated with the identified accidents in this study.

Lightweight Cryptography based Communication Model for Device Identification, Mutual Authentication, and Encryption in a Smart City Environment

Providing security to smart city networks is one of the challenging and demanding tasks in the present days, due to its increased utilization in smart intelligent transportation systems. For this purpose, there are various security protocols and mechanisms that have been developed in the existing works, which targets to establish the reliable and secured communication in smart city networks. However, it limits the major issues of increased computational cost, communication cost, storage overhead, and reduced efficiency. In order to solve these problems, the proposed work intends to design an intelligent security framework by using the Light-weight Cryptography based Communication Model (LCCM). Proposed framework includes the modules of setup initialization, vehicle registration, authentication, key generation, encryption, and decryption. Here, the Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications are performed with reduced cost complexity. For guaranteeing the security of networks, the random value-based key generation, data encryption, and decryption processes are performed. During the performance analysis, various evaluation measures have been used to assess the results of both convention and proposed security protocols. This paper presented a new methodology named as, LCCM for enhancing the security of smart city transportation networks.

Leningrad's Transport Infrastructure and Socio-economic Changes in the Life of the City in the 1950s – 1960s.

The article considers urban road infrastructure as one of the factors of socio-economic everyday life of a person. Based on the materials of Leningrad in the 1950s – 1960s, it is studied how the city's transport system was influenced by the settlement of the city center, the reform of working hours and population growth, the problems faced by the city's transport network and the mechanisms for their solution are demonstrated. The degree of effectiveness of overcoming the existing problems in the road and logistics infrastructure of the city is being clarified. Historical-genetic, historical-comparative and retrospective methods are used to solve the tasks set in the article. The analysis carried out in the article demonstrated that despite the considerable efforts of the city authorities, they failed to create an efficient road transport network. The desire of the federal and municipal authorities of Russia to resolve this issue, quite often in cities with a million population does not lead to the desired result. Conducted on the materials of Leningrad 1950 - 1960s, historical analysis shows that, in solving this problem, it is necessary to take into account many factors, both demographic and social. But even under these conditions, as the historical experience of Leningrad showed, when the city authorities made significant efforts to create an extensive road and transport network, logistical problems were not overcome. Therefore, historical experience and modern realities indicate the need to develop new, more effective theoretical models for organizing the movement of the city's population.

Simulation of turning traffic at a controlled inter-section

Problem. Optimizing the parameters of traffic light regulation can reduce delays and queues of vehicles, increase the throughput of intersections, and thus increase the quality of the functioning of the city's transport network. This question is especially relevant for Ukraine, because in these conditions it is impossible to carry out a significant modernization of the city's transport network, but within the framework of the post-war reconstruction of the city, it is possible to carry out the improvement of the geometric parameters of the intersection. However, among all the factors that affect the throughput of a regulated intersection, in the scientific literature and normative documents, insufficient attention is paid to the geometrical parameters of the intersection itself. Goal. The geometric parameters of the intersection first of all affect the characteristics of the movement of the selected rotating streams, and through this - the saturation of the stream. Therefore, it is of interest to simulate the movement of turning traffic at an intersection and compare the results with empirical models. Methodology. To estimate the permeability of the selected turning lanes, the correction of the ideal saturation flow is most often used with coefficients, the values ​​of which are either calculated depending on the geometric parameters of the intersection (for example, F. Webster's methodology), or are taken as constant (Posіbnik НСМ 2000). The flow saturation value for the selected turning lane was also calculated taking into account the minimum safe distance of the vehicles in the traffic flow. It is shown that these methods give different values ​​of flow saturation. Results. To check the degree of influence of the rotary flow traffic radius on the flow saturation of the selected traffic, simulation modeling of the robot of the conditional adjustable intersection was carried out in the program PTV VISSIM. The parameters of the model were chosen in such a way that a sufficiently long queue was released before the stop line. In the process of imitation, after turning on the green signal, the virtual detector fixed the number of cars that passed through the dedicated right-turn lane. Practical value. The results showed that for selected turning lanes, the saturation flow increases with an increase in the radius of the turning flow trajectory, which corresponds to the classical formula of F. Webster, when the radius value is up to 15 m. Therefore, adjusting the saturation flow for selected turning flows is appropriate this time. When the flow moves along a path with a larger radius, the saturation flow does not depend on the geometry of the intersection.

Hydrogen station allocation based on equilibrium traffic flow

The deployment of hydrogen refueling stations is vital to the development of fuel cell vehicles. Past studies on the hydrogen refueling stations didn't consider congestion on paths and assumed all flows are on the shortest paths of OD pairs, which is not consistent with travelers' route choice behavior. In this paper, we study flow refueling location allocation based on the user-equilibrium (UE) status, which is consistent with travelers' route choice behavior. We present a flow-capturing location allocation (FCLA) model on UE conditions. We also presented an equilibrium algorithm avoiding cannibalization to solve the model. Based on the transportation network of Anaheim city in California in the US, we compared the results of applying a non-equilibrium method to the FCLA model and applying the equilibrium method to the FCLA model on UE conditions. The results of the two algorithms and models are different. The equilibrium model and algorithm can capture more flow and has a higher flow-capturing ratio. What's more, the equilibrium model and algorithm can fully capture the expected flow in practice since the real transportation network is basically in UE status. The equilibrium model and algorithm presented in this paper is the first study of this kind to locate stations in cities and is useful in the deployment of hydrogen refueling stations.

Інтелектуалізація управління дорожнім рухом як засіб підвищення ефективності транспортної мережі міста в неординарних ситуаціях

An assessment of modern trends in the development of intelligent traffic management systems and their role in ensuring the efficiency of the functioning of transport networks was carried out. The processes of introducing technologies for expanding the flow of processed data into existing intelligent transport systems (ITS) that ensure an increase in the speed of information transmission in them have been determined. The classification of information sources that become available when the ITS transitions to the 5G standard and provide a basis for the implementation of technologies for avoiding extraordinary situations in transport networks is given.Existing methods of improving the efficiency of the city's transport network are mainly aimed at ensuring the ability of ITS to predict traffic flows. These include statistical and nonlinear methods, simulation-based methods, artificial intelligence methods, and combined methods. The implementation of these methods is achieved by increasing the information flow coming from the system. A comparison of these methods revealed that they can generally make predictions with high accuracy, however, regardless of the chosen standard, some of them are already at the peak of their potential in terms of application in ITS, and the rest still have room for development.The suitability of the forecasting method for working in real-time conditions is a significant advantage in ensuring effective management of traffic flows, allows to increase the stability of the transport network and the efficiency of the ITS, and has a positive effect on the level of traffic jams, road safety and ecological impact on the environment. The most promising in terms of a quick and flexible solution to an extraordinary situation are models with the use of artificial intelligence or a combination thereof, based on deep learning algorithms, which have proven their importance in predicting the results, making decisions regarding traffic flow forecasts and ensuring the elimination and avoidance of traffic jams based on the passage of vehicles through the intersection depending on the length and duration of the traffic light signals.

Introducing social contacts into the node-place model: A case study of Hong Kong

The node-place model epitomizes metro stations as nodes in a city's transportation network and station areas as places accommodating activities in the city. According to this model, stations and station areas with balanced node and place contents/values contribute to harmony among human interactions, land uses, and (public) transportation services. The harmony is indispensable for civic engagement, quality of life, and well-being of urbanites. Most of the existing studies on the model, however, focus on transportation services and land uses. Little has been done on whether and how social contacts play an essential role in such harmony and are associated with node-place values. In this article, we therefore measure social contact in a city and introduce social contact as a third aspect to the node-place model. In particular, we introduce a method to identify group travel activities in the metro system, as a proxy for social contact, by using smartcard swipe records from Hong Kong's metro system in 2020. We then define and calculate place values, node values, and the intensity and density of social contacts by metro station or station area. We find that some stations with balanced and even stressed node-place values would have relatively low social contacts. The conventional node-place framework is not capable of capturing and evaluating realized social contacts of a metro station area. There exists a gap between realization of social contacts and the interaction potential facilitated by both node and place values of stations. Our new model allows us to better categorize different metro station areas according to their respective realized social contacts.

Providing homeland security strategies against interdictions in the city transportation network: A case study in Turkey

This study defines a capacitated multiple-source multiple-sink shortest path problem and introduces its extension, called the capacitated multiple-source multiple-sink shortest path network interdiction problem (CMSSNIP). CMSSNIP examines the actions of attackers who attempt to maximize the total shortest path of network users trying to reach the crime locations for the aid process after causing an incident in certain regions to provide strategic information for the defense systems of the government. In this context, the exact mathematical model is proposed to ensure useful information about safe routes to network users. In this manner, to the best knowledge of authors, the CMSSNIP consisting of multiple-source nodes and multiple-sink nodes and considering capacity-demand relations between security units and crime locations is studied for the first time. Consequently, a set of scenarios is considered based on the levels of the interdiction budget and the number of crime locations through a real case application to show the applicability of the model. Furthermore, computational experiments are performed to evaluate the performance of the model in networks of different sizes. It is realized that the model provides resilient strategies against interdictions in terms of obtaining the safe shortest paths at the operational level within seconds in the real case applications.

Spatial accessibility of medical facilities based on green travel mode - Take the central urban area of Wuhan as an example

Based on the concept of “people-oriented”, this paper simulates the green travel mode of Wuhan residents in the main urban area by walking and public transportation (bus and rail) based on the public transportation network and walking network of Wuhan city, combined with the POI data of residential community points and medical public service facilities. ArcGIS network analysis technology was used to quantitatively analyze the spatial accessibility distribution characteristics and qualitatively analyze the problems of medical service facilities in the main city of Wuhan. The spatial accessibility distribution characteristics of the three types of medical service facilities (General hospital, Specialist hospital and community hospital) in Wuhan city were quantitatively and qualitatively analyzed. The conclusions are as follows: under the different green travel mode (walk, by bus or take the subway), the spatial accessibility of the three types of medical facilities in the central urban area of Wuhan is good. The areas with the spatial accessibility of the three types of medical facilities within 15min account for most of the central urban area of Wuhan. However, the spatial accessibility of the three types of medical facilities shows obvious imbalance in the spatial distribution characteristics. The spatial accessibility of three medical facilities in the west of Jianghan district, the north of Jiangan district, the east of Wuchang district and the middle of Hongshan district is poor. And the spatial accessibility in these areas is more than 15min. There are distinct differentiating characteristics in areas with good and bad spatial accessibility. Based on the above analysis results, suggestions and countermeasures are put forward to improve the spatial accessibility of medical public service facilities in the central city of Wuhan.

Обзор моделей и методов оптимизации расписаний и графиков движения маршрутного городского и магистрального транспорта

Review for used at the moment models and methods for the creation and optimization of shuttle timetables for urban and main transport is given in the article, major differences between post-Soviet and foreign experience in the technology of timetable and traffic schedule creation are considered. The article contains phased analysis of approaches to planning the work of urban transport. The issues of dividing the city transport network into routes, the problems of vehicle distribution between them are given, the mathematical models of shuttle transport timetables, the assignments of real vehicles of certain types to squads and drivers distribution between them for each date are presented, major reasons for using aperiodic urban transport traffic schedules on post-Soviet area are pointed. The history of the development of software automation systems for urban transport traffic schedules is narrated, there’re considered major approaches, implementing an automation for the creation of periodic, aperiodic and hybrid timetables and traffic schedules, for to develop modern informational systems for the being considered purposes.

РОЗВИТОК ТА ПРОБЛЕМИ ПАРКУВАЛЬНОГО ПРОСТОРУ В УМОВАХ СУЧАСНОЇ УРБАНІЗАЦІЇ

The peculiarities of parking design in a highly urbanized living environment, which are the spread of multi-level ramp and automated parking lots during the period of mass motorization of developed countries. Current trends tend to gradually integrate parking lots with residential, public, office buildings, as well as natural terrain and landscape. The article examines the experience of major cities around the world (London, Tokyo, Singapore, UAE, European cities), which allows us to formulate the following main directions of development of parking space: greening of parking buildings; use of cooperative parking lots; allocation of an area with shared use of parking spaces; movement to the gradual abandonment of parking; adaptability of parking lots and their reconstruction for other functions while reducing demand. The domestic practice of designing parking lots focused on residential development is analyzed. It was found that the most common are open plan parking and underground built-in (mainly for business and elite class). The main problems of parking space development in Ukraine are revealed: low level of design and construction of separate multilevel ramp and mechanized parking lots, unresolved issue of storage and maintenance of cars in housing construction, which is actively growing in urban cities. An effective approach to the placement of parking lots in the conditions of modern urbanization in order to rationally use the existing urban area of ​​Vinnytsia and optimize the city's transport network by integrating parking lots into it is considered. The state of motorization, organization of parking space, problems in Ukraine and in the city of Vinnytsia are analyzed.

Resilience Analysis of New York City Transportation Network After Snow Storms

This study presents a quantitative analysis of the snow storm resilience of New York City (NYC) by utilizing network science-based system performance functions and publicly available datasets, that is, New York Department of Sanitation’s snow removal operation and NYC traffic speed data. Several graph theory based metrics and some heuristic metrics are utilized to calculate the temporal changes in transportation network functionality along eight snow events. The NYC transportation network is updated based on snowplow movements, and the performance indexes (PIs) for all metrics are calculated throughout the snow storm timeline. Since PI graphs rely on network topology but not the actual traffic conditions, the times that the system bounces back to “regular” conditions (i.e., time-to-recovery/resilience) are calculated based on the similarity between hourly speed distributions on NYC roads. Bhattacharyya distance and Kolmogorov–Smirnov test are used as measures for distribution similarity. Accordingly, the PI values that correspond to the recovery times are also identified. Within the limitations of the size of the snow storm sample, the findings show that less data-intensive graph theory metrics can be used to estimate the transportation network performance—an estimation that would require extensive and detailed data otherwise. Accordingly, these metrics can be used to make resilience predictions for future events through simulations on modified network topology, and help make recovery forecasts to inform local governments and businesses on when to resume regular operations.

Navigation methodology for vehicle city route optimal choice

Relevance. The study is a fundamentally new approach to such an extremely important problem as the congestions in large cities. The solution of this global problem is a step in the realization of a smart city concept. Goal. The aim of the study is to create basic elements of technology that can stabilize urban traffic and bring it to a qualitatively new state. To achieve this goal, the following tasks have been formulated: – to create a model of a city transport network in the form of an oriented weighted non-planar multigraph with dynamically loaded arcs; – to activate a city electronic map in the Traffic Management Centre (TMC) which allows tracking each vehicle; – to navigate the time-optimal routes for all those vehicles that request the route; – to implement the work of the software algorithm in real time with constant updating of the route of each tracked vehicle. That will allow monitoring changes in city traffic in real time and making adjustments to the route of each vehicle. Research methods. The research is based on the use of mechanisms for modeling and working with various networks – the graph theory and the A-star algorithm. The latter traces the route on the graph (transport network) between two selected positions of the vehicle graph theory – origin and destination. The heuristic A-star algorithm – a powerful computational method of graph theory has been used in the study. This makes it possible to synchronize vehicles flows and therefore provides a qualitatively new level to the control of urban traffic. The results. The problem of traffic load registration for the city transport network essential for navigating a vehicle route in metropolis has been solved. Traffic data of the real transport network have been reproduced on the city electronic map. Each vehicle received a unique marker consisting of an origin-destination pair and can be tracked on the map. Since each vehicle is under control of the Traffic Management Center (TMC), it is possible to track it along the optimal route, taking an urban traffic dynamic into account. Support is provided via the General Packet Radio Service (GPRS) channel, which allows each driver to receive instructions as to an optimal travel path. Conclusions. The study has proposed a working software module that navigates a time-optimized route on the graph that represents the model of the real transport city network.

Resilience model and recovery strategy of transportation network based on travel OD-grid analysis

Transportation is the key to a city's prosperity, however, there is possibility that the development and expansion of city make the transportation system complicated, uncertain and vulnerable, especially when in the face of damage. Although resilience is a critical factor for understanding and managing the damage and recovery of the transportation system, study on model of transportation resilience, which is able to effectively utilize actual data and is based on real cases, is still not enough. Therefore, this paper proposes a resilience model and investigates the optimization of the recovery strategy according to this model. It constructs a modeling framework based on the OD-grid network and provides a brand-new performance metric for transportation network resilience analysis based on grid capacity. It also develops two resilience assessment models and compares their characters. Focusing on the recovery of transportation resilience process, it presents two recovery strategies considering recovery sequence and resource allocation respectively and uses the GA algorithm to optimize them and solve the problem. It then demonstrates the effectiveness of the proposed model and the recovery algorithm through the resilience analysis and recovery strategy optimization of a city's transportation network model, which is built according to the real GPS data.

МОДЕЛЮВАННЯ ОПТИМІЗАЦІЇ МІСЬКОЇ ТРАНСПОРТНОЇ МЕРЕЖІ В ІНТЕГРОВАНИХ ТРАНСПОРТНИХ СИСТЕМАХ

Abstract In world practice, one of the main features of integrated transport systems, is the delivery of goods "door-to-door", which is impossible without the road transport is being used at the final stage of transportation. Today, the situation on the Ukrainian roads has a negative trend in terms of traffic jams and accidents, which creates a risk of delay or damage to freight during the transportation process. The problem is how to optimize the urban transport network to meet the growing demand for transportation and reduce traffic congestion. Purpose. Investigate the root causes of traffic congestion and develop a tool in order to optimize the city network on the example of a traffic interchange. Analytical and experimental with the use of computer 3D-simulation. For a practical demonstration, a model of one of the most problematic, from the point of view of traffic jams, transport interchanges in Kyiv, was developed. An optimization experiment was conducted, which demonstrated an increase in interchange capacity by 26,2% and reduction in average transportation time by 60, 47%. It is a difficult task to optimizing the transport network, because if you conduct an experiment with a real system, any changes could be catastrophic. In addition, it is necessary to anticipate the growth of traffic, take into account the economic, territorial and industrial characteristics of settlements. The research clearly demonstrates the possibilities of simulation computer modeling in this aspect. The purposed solution allows to optimize the city transport network without significant investment, and could reduce the risk of accidents, financial and time costs for transportation of goods by city in the global aspect. Keywords: freight transport, intersections, integrated transport systems, urban transport network, optimization, imitation modeling.