Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110728
M. M. Bazhutin, V. Moshkin
The paper describes an approach to improving the efficiency of queries in the SQL language in order to optimize the time of retrieving and processing data from highly loaded DBMS. The proposed approach involves the formation of a knowledge base in the form of sets of rules that allow you to optimize the time of data retrieval from relational databases. The set of rules that increase the efficiency of processing data from the database can be divided into sets that solve the following problems: the lack of profiling, performance issues caused by combining of SQL and the algorithmic part of the task, SQL execution structure. Also, the paper presents the results of experiments on data processing of the information system of the Branch of PJSC "Il" - Aviastar.
{"title":"An Approach to Improving the Efficiency of the Database of a Large Industrial Enterprise","authors":"M. M. Bazhutin, V. Moshkin","doi":"10.1109/SmartIndustryCon57312.2023.10110728","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110728","url":null,"abstract":"The paper describes an approach to improving the efficiency of queries in the SQL language in order to optimize the time of retrieving and processing data from highly loaded DBMS. The proposed approach involves the formation of a knowledge base in the form of sets of rules that allow you to optimize the time of data retrieval from relational databases. The set of rules that increase the efficiency of processing data from the database can be divided into sets that solve the following problems: the lack of profiling, performance issues caused by combining of SQL and the algorithmic part of the task, SQL execution structure. Also, the paper presents the results of experiments on data processing of the information system of the Branch of PJSC \"Il\" - Aviastar.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114946828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110828
V. Shokhin, V. Khramshin, G. Kornilov, O. Permyakova
The paper is concerned with the automatic electric drive characteristics taking into account its coordinate limitations, in particular, frequency converter input voltage. A model developed in MATLAB environment in SIMULINK application was used to carry out the research work. The model includes a frequency converter, an asynchronous motor and a speed control system with vector control where the variables are represented both in fixed and rotating coordinate systems. To analyse the electric drives with vector control, the method for structural modeling was used. The model takes into account the voltage limitation at the current controller output in the speed control system because it, in fact, limits the amplitudes of input three-phase voltages in the frequency converter. Automatic electric drive dynamics is studied in the acceleration and load surge modes. When the changes in the electric drive resistance moment are significant, the increase in the voltages at the current controller output is possible, which exceeds the voltage capacity for the frequency converter input. In this case, the speed control system opens and causes electric drive malfunction. In order to adjust the drive operation in this mode, it was proposed to decrease the voltage set point at the input of the flux linkage controller. The simulation results confirm the efficiency of this solution.
{"title":"Investigation of Frequency Controlled Electric Drive with Control Signal Limitation by the Frequency Controller","authors":"V. Shokhin, V. Khramshin, G. Kornilov, O. Permyakova","doi":"10.1109/SmartIndustryCon57312.2023.10110828","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110828","url":null,"abstract":"The paper is concerned with the automatic electric drive characteristics taking into account its coordinate limitations, in particular, frequency converter input voltage. A model developed in MATLAB environment in SIMULINK application was used to carry out the research work. The model includes a frequency converter, an asynchronous motor and a speed control system with vector control where the variables are represented both in fixed and rotating coordinate systems. To analyse the electric drives with vector control, the method for structural modeling was used. The model takes into account the voltage limitation at the current controller output in the speed control system because it, in fact, limits the amplitudes of input three-phase voltages in the frequency converter. Automatic electric drive dynamics is studied in the acceleration and load surge modes. When the changes in the electric drive resistance moment are significant, the increase in the voltages at the current controller output is possible, which exceeds the voltage capacity for the frequency converter input. In this case, the speed control system opens and causes electric drive malfunction. In order to adjust the drive operation in this mode, it was proposed to decrease the voltage set point at the input of the flux linkage controller. The simulation results confirm the efficiency of this solution.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"81 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133357623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110826
Sodnom Lygdenov
Subject of research. Evaluation of the impact of priority data transmission in multi-channel systems of high load, presented as a queuing system with prioritization of applications. Method. The impact of priorities on the efficiency of data transmission in multichannel systems was assessed using simulation methods and mathematical statistics. Main results. A numerical method for calculating time indicators based on a simulation model of a multichannel data transmission system with a non-uniform load is proposed. Simulation experiments have been carried out to evaluate the impact of priority data transmission at various coefficients of variation in the intensity of requests on time indicators in a multichannel system. The areas of efficiency of using priorities in highly loaded multichannel data transmission systems are shown. Practical significance. The presented results can be used in the design of high-load multichannel computer data transmission systems.
{"title":"Evaluation of the Influence of Priorities in Multichannel Data Transmission Systems","authors":"Sodnom Lygdenov","doi":"10.1109/SmartIndustryCon57312.2023.10110826","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110826","url":null,"abstract":"Subject of research. Evaluation of the impact of priority data transmission in multi-channel systems of high load, presented as a queuing system with prioritization of applications. Method. The impact of priorities on the efficiency of data transmission in multichannel systems was assessed using simulation methods and mathematical statistics. Main results. A numerical method for calculating time indicators based on a simulation model of a multichannel data transmission system with a non-uniform load is proposed. Simulation experiments have been carried out to evaluate the impact of priority data transmission at various coefficients of variation in the intensity of requests on time indicators in a multichannel system. The areas of efficiency of using priorities in highly loaded multichannel data transmission systems are shown. Practical significance. The presented results can be used in the design of high-load multichannel computer data transmission systems.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116229439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110718
N. Dorofeev, Anastasya Grecheneva, R. Sharapov
The article describes the results of the research of an information digital model (map) of a person's gait based on preliminary processing of mobile phone accelerometer signals in biometric authentication systems, as well as a personal health monitoring systems. The relevance of collecting biometric information extracted is explained from human gait data. The features of the primary processing of data are briefly described from the accelerometer of a mobile phone in order to extract gait parameters. The results of the research of the influence of various factors are described on the data of a mobile phone accelerometer. The obtained results of the research indicate the possibility of separating gait data into different groups and further monitoring the change in parameters within each group. Building a personal information model (map) of a person’s gait will make it possible with a preliminary division into data categories. It is to more effectively apply various processing algorithms and improve the accuracy of assessing individual gait characteristics and the quality of the entire system as a whole.
{"title":"Informational Image of a Person’s Gait According to Mobile Phone Data","authors":"N. Dorofeev, Anastasya Grecheneva, R. Sharapov","doi":"10.1109/SmartIndustryCon57312.2023.10110718","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110718","url":null,"abstract":"The article describes the results of the research of an information digital model (map) of a person's gait based on preliminary processing of mobile phone accelerometer signals in biometric authentication systems, as well as a personal health monitoring systems. The relevance of collecting biometric information extracted is explained from human gait data. The features of the primary processing of data are briefly described from the accelerometer of a mobile phone in order to extract gait parameters. The results of the research of the influence of various factors are described on the data of a mobile phone accelerometer. The obtained results of the research indicate the possibility of separating gait data into different groups and further monitoring the change in parameters within each group. Building a personal information model (map) of a person’s gait will make it possible with a preliminary division into data categories. It is to more effectively apply various processing algorithms and improve the accuracy of assessing individual gait characteristics and the quality of the entire system as a whole.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123460611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110773
D. A. Lyutkin, A. Romanov, N. D. Nasonov
The use of mathematical algorithms for disease identification has gained traction in recent years and has paved the way for the creation of novel tools that can swiftly and accurately detect pathologies. In particular, modern machine learning techniques have garnered significant attention in this domain and are currently among the most widely used algorithms. Despite their popularity, the implementation and training of these neural networks can be daunting, owing to the intricate nature of the data and the complexity of the training process. To address these challenges, this paper suggests an efficient neural network training algorithm that employs iterative analysis and gradient computation for each data packet, thus ensuring the attainment of optimal quality metrics.
{"title":"Segmenting Prostate Cancer on TRUS Images with a Small Dataset: A Comprehensive Methodology","authors":"D. A. Lyutkin, A. Romanov, N. D. Nasonov","doi":"10.1109/SmartIndustryCon57312.2023.10110773","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110773","url":null,"abstract":"The use of mathematical algorithms for disease identification has gained traction in recent years and has paved the way for the creation of novel tools that can swiftly and accurately detect pathologies. In particular, modern machine learning techniques have garnered significant attention in this domain and are currently among the most widely used algorithms. Despite their popularity, the implementation and training of these neural networks can be daunting, owing to the intricate nature of the data and the complexity of the training process. To address these challenges, this paper suggests an efficient neural network training algorithm that employs iterative analysis and gradient computation for each data packet, thus ensuring the attainment of optimal quality metrics.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128805130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110799
O. Emelyanova, S. Efimov, S. Jatsun
There is a problem of promptly obtaining sufficient information about the chemical situation in the workplace and the territories adjacent to it, necessary and sufficient for taking appropriate measures. A possible solution to this problem, capable of implementing effective and continuous control over the concentration of harmful substances in the air over the entire territory of industrial facilities and adjacent territories, is the creation of a system for monitoring extreme situations using unmanned aerial vehicles. This solution involves the installation of a portable multi-channel gas analyzer on one or more autonomous unmanned aerial vehicles (UAVs) that move in the monitoring zone, controlling the level of pollution at given points and transmitting information to the decision-making center. Purpose of the study: development of algorithms for searching for the source of atmospheric pollution by the concentration of toxic gas measured by an onboard gas analyzer installed on a mobile instrument platform. An algorithm has been developed to control the autonomous movement of a mobile instrument platform to a source of toxic gas, taking into account the change in concentration and the choice of the type of a given trajectory of movement, which makes it possible to track the change in the dynamics of the concentration of toxic gases in the vicinity of the object of observation.
{"title":"Algorithms for Robotic Intelligent Systems for Predicting Fire Hazardous Situations at an Early Stage","authors":"O. Emelyanova, S. Efimov, S. Jatsun","doi":"10.1109/SmartIndustryCon57312.2023.10110799","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110799","url":null,"abstract":"There is a problem of promptly obtaining sufficient information about the chemical situation in the workplace and the territories adjacent to it, necessary and sufficient for taking appropriate measures. A possible solution to this problem, capable of implementing effective and continuous control over the concentration of harmful substances in the air over the entire territory of industrial facilities and adjacent territories, is the creation of a system for monitoring extreme situations using unmanned aerial vehicles. This solution involves the installation of a portable multi-channel gas analyzer on one or more autonomous unmanned aerial vehicles (UAVs) that move in the monitoring zone, controlling the level of pollution at given points and transmitting information to the decision-making center. Purpose of the study: development of algorithms for searching for the source of atmospheric pollution by the concentration of toxic gas measured by an onboard gas analyzer installed on a mobile instrument platform. An algorithm has been developed to control the autonomous movement of a mobile instrument platform to a source of toxic gas, taking into account the change in concentration and the choice of the type of a given trajectory of movement, which makes it possible to track the change in the dynamics of the concentration of toxic gases in the vicinity of the object of observation.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128959562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110805
D. Korobkin, Grigory Vereschak, S. Fomenkov
At the moment, many Russian companies working in the field of software development for television and radio broadcasting can extract the necessary knowledge about trends in their field of activity by analyzing information received from foreign competitors, for example, when studying specialized popular science literature, based on information posted on the official websites of foreign competitors, when analyzing information obtained from exhibitions and presentations. Such an opportunity can significantly strengthen Russian companies in the formation of strategic development plans. The purpose of this work is to develop software for forecasting the development of technologies on the example of television and radio broadcasting. To achieve this goal, a patent parsing algorithm was developed that allows extracting the necessary elements of the description of the sources under consideration obtained from the Google Patents website, as well as an algorithm for constructing time series based on the extracted patent data and forecasting technology development using the ARIMA method. The module for extracting elements from patent files is implemented using the Beautiful Soup library, the Multiprocessing library is used for parallelizing the parsing process, Statsmodels is used for data analysis and forecasting, and Matplotlib is used for data visualization. The MySQL database management System (DBMS) was chosen to organize the storage of information. As a result of the work carried out, 28591 patents were processed, with the help of which the process of forecasting the development of television and radio technologies was tested on the basis of the constructed time series in the interval 2015-2020.
{"title":"Development of an Application for Forecasting the Development of Technologies on the Example of Television and Radio Broadcasting","authors":"D. Korobkin, Grigory Vereschak, S. Fomenkov","doi":"10.1109/SmartIndustryCon57312.2023.10110805","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110805","url":null,"abstract":"At the moment, many Russian companies working in the field of software development for television and radio broadcasting can extract the necessary knowledge about trends in their field of activity by analyzing information received from foreign competitors, for example, when studying specialized popular science literature, based on information posted on the official websites of foreign competitors, when analyzing information obtained from exhibitions and presentations. Such an opportunity can significantly strengthen Russian companies in the formation of strategic development plans. The purpose of this work is to develop software for forecasting the development of technologies on the example of television and radio broadcasting. To achieve this goal, a patent parsing algorithm was developed that allows extracting the necessary elements of the description of the sources under consideration obtained from the Google Patents website, as well as an algorithm for constructing time series based on the extracted patent data and forecasting technology development using the ARIMA method. The module for extracting elements from patent files is implemented using the Beautiful Soup library, the Multiprocessing library is used for parallelizing the parsing process, Statsmodels is used for data analysis and forecasting, and Matplotlib is used for data visualization. The MySQL database management System (DBMS) was chosen to organize the storage of information. As a result of the work carried out, 28591 patents were processed, with the help of which the process of forecasting the development of television and radio technologies was tested on the basis of the constructed time series in the interval 2015-2020.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122752551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110796
S. Kalabanov, R. Shagiev, R. Ishmuratov
The article describes an automated wireless data collection system for monitoring the state of the water supply system and the total metering of the cold water consumption at a manufacturing enterprise. Data transmission in the system is implemented by means of Telit radio modules operating at a frequency of 433 MHz, united in a self-organizing radio network with a mesh topology. The principle of automated system construction is considered, its remote peripheral devices and the dispatcher's central device are described. The main characteristics and features of the hardware and software implementation of the developed automated system are given. The functionality and visual graphical interface of the program at the control computers are described.
{"title":"Automated Data Acquisition System for Cold Water Metering at Factory","authors":"S. Kalabanov, R. Shagiev, R. Ishmuratov","doi":"10.1109/SmartIndustryCon57312.2023.10110796","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110796","url":null,"abstract":"The article describes an automated wireless data collection system for monitoring the state of the water supply system and the total metering of the cold water consumption at a manufacturing enterprise. Data transmission in the system is implemented by means of Telit radio modules operating at a frequency of 433 MHz, united in a self-organizing radio network with a mesh topology. The principle of automated system construction is considered, its remote peripheral devices and the dispatcher's central device are described. The main characteristics and features of the hardware and software implementation of the developed automated system are given. The functionality and visual graphical interface of the program at the control computers are described.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"259 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122826221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110802
V. Groppen, A. A. Berko
Analyzed is a new approach to the use of enumeration procedures for calculation of definite multiple integrals. It is shown that the effectiveness of this approach depends on the following factors: on requirements for the accuracy of calculations, on complexity of the integrand and on the number of variables of the problem to be solved. Presented are the conditions that allow us to adapt the modular enumeration algorithms in relation to the numerical parameters, characterizing these factors. The aim of adaptation is to minimize the search time. Analytical analysis of the comparative efficiency of brute force and modular enumeration algorithms for calculating multiple definite integrals leads to the following results: 1. The optimal number of modules is really equal to two. This result coincides with the optimal search mode by modular enumeration of globally optimal solutions to discrete programming problems. 2. The gain in time η in the time of calculating a definite integral by modular technology compared with the time of calculating the same definite integral by brute force exceeds value of the number of variables n. 3. The greater is the number of variables n and the greater is the complexity of the integrand, the greater is the gain in computation time. Experimental verification of the analytical results obtained confirms their validity.
{"title":"Modular Technology of Definite Multiple Integrals Calculation: Analytical Analysis and Experimental Verification of Efficiency","authors":"V. Groppen, A. A. Berko","doi":"10.1109/SmartIndustryCon57312.2023.10110802","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110802","url":null,"abstract":"Analyzed is a new approach to the use of enumeration procedures for calculation of definite multiple integrals. It is shown that the effectiveness of this approach depends on the following factors: on requirements for the accuracy of calculations, on complexity of the integrand and on the number of variables of the problem to be solved. Presented are the conditions that allow us to adapt the modular enumeration algorithms in relation to the numerical parameters, characterizing these factors. The aim of adaptation is to minimize the search time. Analytical analysis of the comparative efficiency of brute force and modular enumeration algorithms for calculating multiple definite integrals leads to the following results: 1. The optimal number of modules is really equal to two. This result coincides with the optimal search mode by modular enumeration of globally optimal solutions to discrete programming problems. 2. The gain in time η in the time of calculating a definite integral by modular technology compared with the time of calculating the same definite integral by brute force exceeds value of the number of variables n. 3. The greater is the number of variables n and the greater is the complexity of the integrand, the greater is the gain in computation time. Experimental verification of the analytical results obtained confirms their validity.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123331934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110743
V. Morozov, V. Shepelev, A. Vorobyev
The problem of traffic congestion formation taking into account environmental factors in cities remains unresolved to the end. One of the tools of intelligent transport systems (ITS) for solving such problems is the dynamic management of traffic flows at urban controlled intersections. However, despite the existing experience in the use of ITS, there are currently no practical methods that take into account the influence of the concentration of traffic flow and emissions of harmful substances over time. The possibility of using neural networks to implement the control process is also insufficiently studied. Therefore, the purpose of this study is to develop a methodology for managing traffic flows at urban controlled intersections at different time concentrations. As a basis for obtaining a new technique, the Webster algorithm and obtaining big data on the parameters of traffic flows based on neural networks in real time were chosen. The developed technique has a number of distinctive features. The authors proposed to implement management according to the criterion of the optimal value of the band occupancy, taking into account the minimum impact on the quality of atmospheric air. The initial data is collected from the video stream from street surveillance cameras and the data is processed using neural network technologies. An analytical evaluation of the effectiveness of the research results was carried out. It is established that the application of the technique will enable positive technological, economic and environmental effects.
{"title":"Improving the Decision-Making System of ITS Based on Dynamic Modeling of the Intensity of Vehicle Traffic along the Lanes, Taking into Account Environmental Factors","authors":"V. Morozov, V. Shepelev, A. Vorobyev","doi":"10.1109/SmartIndustryCon57312.2023.10110743","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110743","url":null,"abstract":"The problem of traffic congestion formation taking into account environmental factors in cities remains unresolved to the end. One of the tools of intelligent transport systems (ITS) for solving such problems is the dynamic management of traffic flows at urban controlled intersections. However, despite the existing experience in the use of ITS, there are currently no practical methods that take into account the influence of the concentration of traffic flow and emissions of harmful substances over time. The possibility of using neural networks to implement the control process is also insufficiently studied. Therefore, the purpose of this study is to develop a methodology for managing traffic flows at urban controlled intersections at different time concentrations. As a basis for obtaining a new technique, the Webster algorithm and obtaining big data on the parameters of traffic flows based on neural networks in real time were chosen. The developed technique has a number of distinctive features. The authors proposed to implement management according to the criterion of the optimal value of the band occupancy, taking into account the minimum impact on the quality of atmospheric air. The initial data is collected from the video stream from street surveillance cameras and the data is processed using neural network technologies. An analytical evaluation of the effectiveness of the research results was carried out. It is established that the application of the technique will enable positive technological, economic and environmental effects.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115942881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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