{"title":"An Intelligent Algorithm for Automated Control of Railway-Crossing Signaling","authors":"G. M. Tretyakov, A. E. Tarasova, E. M. Tarasov","doi":"10.3103/s1068371223100127","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The concept of an intelligent transport system representing a “person–vehicle” integrated system of interaction between transport subjects is considered. Properties of the system that are considered intelligent are presented. In particular, such characteristics such as learning ability, classification ability, and adaptation are discussed. As an example, an automated control system for railway crossings that regulate the flow of vehicles across railway tracks is considered. An algorithm is proposed based on the principle of intelligent control using machine learning and self-tuning under the action of destabilizing factors. A unit diagram of an intelligent control system for crossing protection devices is also presented.</p>","PeriodicalId":39312,"journal":{"name":"Russian Electrical Engineering","volume":"9 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Russian Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3103/s1068371223100127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
The concept of an intelligent transport system representing a “person–vehicle” integrated system of interaction between transport subjects is considered. Properties of the system that are considered intelligent are presented. In particular, such characteristics such as learning ability, classification ability, and adaptation are discussed. As an example, an automated control system for railway crossings that regulate the flow of vehicles across railway tracks is considered. An algorithm is proposed based on the principle of intelligent control using machine learning and self-tuning under the action of destabilizing factors. A unit diagram of an intelligent control system for crossing protection devices is also presented.
期刊介绍：
Russian Electrical Engineering is a journal designed for the electrical engineering industry and publishes the latest research results on the design and utilization of new types of equipment for that industry and on the ways of improving the efficiency of existing equipment.
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