卷 13, 编号 1 (2023)

The reliability of the investigation and the conclusions of the examination depends on how accurate and correct the initial information – the facts, circumstances and parameters of the condition of vehicles, road conditions and the driver accepted for consideration – corresponds to the mechanism of the accident. The reasons for this kind of inconsistencies in the information of the real situation may be different: the ambiguity of the verbal description of the environment and the condition of the pavement, the variance of the values of parameters and coefficients relative to their discrete reference value, the dependence of calculated values on numerous factors, measurement errors. In addition, the result depends on the completeness and accuracy of the formulas used, the accuracy of the definition of certain concepts, in particular, the concepts of the delay time of the brake actuation, the time of the deceleration rise, the vehicle’s use, etc.

That is why in the works of many authors devoted to the examination of accidents, it has been repeatedly noted that the information used in the investigation carries elements of uncertainty, which inevitably affects the correctness and reliability of the conclusions of the investigation.

Purpose – is to show the need to clarify the basic concepts and formulas used in production

Methodology of the work: the methods of formalization and specification of formulas used in the investigation of the examination of an accident were used in the work

Results: the examples given in the paper and the theoretical studies carried out show that a significant number of formulas used in automotive research require refinement and refinement.

Practical implications: it is advisable to apply the results obtained when conducting automotive research – investigation and examination of road accidents.

The authors of the article provide a detailed description and analysis of the basic layouts of hybrid power plants (GSU) of wheeled vehicles (CTS), describe the principle of their operation and provide the main diagnostic parameters. The analysis of the functioning of the GSU in various modes of movement of the CTS is presented. Diagnostic methods on power and inertial stands with running drums are considered.

The purpose is to consider methods of diagnostics of CTS with GSU on power and inertial stands with running drums.

The method of the work – the article used statistical methods of analysis.

Results – it is proved that in order to ensure highly informative and stable test modes of functioning of the CTS with GSU in the process of their diagnosis, it is necessary to use hybrid stands.

Scope of application of the results – it is advisable to apply the results obtained in the diagnosis of CTS with GSU on stands with running drums.

This article describes the development of software code for quality control of parts. To solve this problem, an application for comparing products for defects was developed with the help of Python programming environment and OpenCV computer vision library.

The goal is to develop an effective program for comparing two parts, a template of a correct part and a made image of the part in a program to compare it to this template.

Methodology. This article discusses a program for collecting and storing data, as well as processing them for quality control.

Results. We developed an application in a Python programming environment that collects information in the form of an image and processes it using the OpenCV computer vision library to compare two images.

Practical implications. This application can be used in industry to monitor and control the quality of parts, because quality is an important part of creating precision products.

The modern stage of development of radio information systems is characterized by one general tendency. It consists in that object of their processing are various kinds of images, difficult enough on structure and with heterogeneous statistical properties. Television, diagnostic and security systems, observation systems for land and water surfaces, near space can serve as an example. The task of such systems is not only a passive function such as formation of images themselves, but first of all the understanding of images - detection on a complex statistically heterogeneous and multigradational in brightness background of the objects of interest, recognition and evaluation of their parameters. The image form is a concentrator of information contained in the image. It is interpreted as an analytically defined signal. This paper proposes a subsystem for the recognition of signals of complex shape, based on sensor networks. The illustration of the structural scheme of the subsystem is given. The technique of image recognition is shown. The results of the recognition are presented.

In this article, the authors consider the transport problems of the largest and largest cities on the example of Krasnodar. The growth of housing construction in recent years has led to an increase in motorization, which increases the load of the city’s road network. Based on the analysis, we can conclude about the main directions of the development of the transport network of cities and the most anticipated problems.

Purpose: is to analyze the rate of population growth in cities, the growth of motorization and draw conclusions about the main transport problems of the city associated with these factors.

Method or methodology of the work: statistical analysis, synthesis were used in the article.

Results: the main directions of activity for solving transport problems of large and largest cities are determined on the example of Krasnodar, the growth rates of population, population density, growth of motorization are analyzed and conclusions are drawn about the influence of these factors on the functioning of the city’s transport system.

Scope of application of the results: research activity on the development of new approaches in the field of organization of transportation and transport services.

Background. The problem of this work is to optimize the currently used methods for calculating the available bandwidth based on analytical calculations by building a simulation model in the AnyLogic software package. Most scientists are working on the issues of laying the traffic schedule without taking into account the complex of issues related to predictive modeling and improving the accuracy of calculating the available capacity.

Materials and/or methods: simulation modeling, economic and mathematical modeling, AnyLogic software package, methods of general systems theory, logistics.

Results. In the course of the work, an abstract model of a railway line was developed and built that simulates the movement of trains according to the specified traffic parameters. The results of the study can be used in the dispatching centers of transportation management of JSC “Russian Railways” in order to optimize the analysis of the subject of the completed work of the railway landfill of the road.

Conclusion. The paper considers and proposes a method for calculating the available capacity on a railway line based on existing analytical formulas and the use of simulation modeling tools in order to adjust them and calculate the value of the simulation modeling coefficient proposed in the work.

Background. The paper is devoted to the study of trends in the transformation of the transport services market under the influence of international sanctions. It is shown that the functioning of the Russian transport industry is significantly influenced by external factors - constraints that determine the reorientation of logistics chains. The experience of other countries whose economies operate under international sanctions has been studied.

Materials and/or research methods. Materials from open Internet sources, methods of system analysis, theory of synergetics, process approach were used.

Results. The main directions and results of the transformation of the market of transport services and, in particular, rail transportation are presented. The classification of international sanctions is considered.

Conclusion. According to the results of the study, it was found that the trends in the development of the transport services market that contribute to overcoming barriers to its path are: the development of the PL services market; collaboration of services; the departure of “gray” players; market consolidation (consolidation of carriers); reorientation of carriers to the domestic market and the countries of the Asia-Pacific region; development the North-South corridor (China and Kazakhstan as transit countries).

Background. This article presents the composition and algorithm of the automated control system for the parameters of a pneumatic arch-breaking system installed on bunkers with bulk materials. The relevance and practical significance of the issue considered in the article is determined by the fact that when unloading bulk material from the hopper, various violations of the technological process may occur, manifested in the formation of material freezes inside the container, a decrease in the amount of unloaded material, segregation, up to a complete stop of unloading due to the formation of arches.

Materials and/or methods. Methods of mathematical modeling, system analysis, comparison, systems theory, as well as architecture and mathematical model of a recurrent neural network with feedback are used.

Results. The composition of input and output parameters of the control system is substantiated. Methods for solving problems of classifying parameter sets are considered and an artificial recurrent neural network with feedback and with a sigmoidal activation function of neurons of the hidden layer and a linear activation function of the output layer is selected.

Conclusion. The article analyzes the requirements for the system of automated control of the parameters of the pneumatic arch-breaking system. Based on the analysis of possible states of the system, the composition of the system elements and the sets of input, intermediate and output parameters of the system, as well as the objective function of the system operation, are substantiated. It is shown that the system can be built on the basis of an artificial neural network. The algorithm of the automated control system for the parameters of the pneumatic arch-breaking system has been developed.

Background. This article presents the results of the analysis of the mechanism of artificial neural networks on Russian railways for the control of current collectors of trains. A critical assessment of the situation was carried out and a forecast of the further development of neural network technologies in railway transport was given.

Materials and/or research methods. Methods of mathematical modeling, system analysis, data analysis, comparison, systems theory, as well as architecture and mathematical model of neural network and information standards were used.

Results. A model of the information system for monitoring the characteristics of current collectors has been developed, the algorithm of its operation and the functionality of the software package of the model of the system for monitoring the characteristics of current collectors of rolling stock have been described. The algorithm of neural network operation for determining the characteristics of electric rolling stock current collectors is presented. The analysis of the prospects for the use of artificial neural networks in the field of railway transport has been carried out, and a simulation model of an information system for monitoring the characteristics of current collectors of electric rolling stock of railway transport has been created.

Conclusion. The article examines the positive experience of JSC “Russian Railways” on the introduction of neural network technologies in technological processes and further prospects for the use of neural network technologies on Russian railways. The necessity of intensifying the development and implementation of neurotechnologies to solve a wide range of tasks, including tasks to optimize the organization of maintenance and repair of rolling stock, is noted. The effectiveness and relevance of the use of artificial neural networks in various fields of activity, especially on Russian railways, is shown, and a model of an information system in the field of monitoring the characteristics of current collectors is proposed.