{"title":"交通流控制数学模型的建立","authors":"Glagolev Sergey Nikolaevich, Novikov Ivan Alekseevich, Kushchenko Liliya Evgen’evna, Koroleva Liliya Aleksandrovna","doi":"10.33979/2073-7432-2023-1(80)-1-68-75","DOIUrl":null,"url":null,"abstract":"The paper analyzes the statistics of traffic accidents in the urban agglomeration. Sections of the road network with repeated types of traffic accidents have been identified. The issues of development of the theory of modeling of transport flows are considered. A fuzzy inference model based on the basic data of the traffic situation has been developed. A rule base has been formulated that allows determining the speed of traffic flow depending on the parameters of the traffic flow and the traffic situation.","PeriodicalId":178900,"journal":{"name":"World of transport and technological machines","volume":"157 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"THE DEVELOPMENT OF THE TRAFFIC FLOW CONTROL MATHEMATICAL MODEL\",\"authors\":\"Glagolev Sergey Nikolaevich, Novikov Ivan Alekseevich, Kushchenko Liliya Evgen’evna, Koroleva Liliya Aleksandrovna\",\"doi\":\"10.33979/2073-7432-2023-1(80)-1-68-75\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper analyzes the statistics of traffic accidents in the urban agglomeration. Sections of the road network with repeated types of traffic accidents have been identified. The issues of development of the theory of modeling of transport flows are considered. A fuzzy inference model based on the basic data of the traffic situation has been developed. A rule base has been formulated that allows determining the speed of traffic flow depending on the parameters of the traffic flow and the traffic situation.\",\"PeriodicalId\":178900,\"journal\":{\"name\":\"World of transport and technological machines\",\"volume\":\"157 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"World of transport and technological machines\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33979/2073-7432-2023-1(80)-1-68-75\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"World of transport and technological machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33979/2073-7432-2023-1(80)-1-68-75","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
THE DEVELOPMENT OF THE TRAFFIC FLOW CONTROL MATHEMATICAL MODEL
The paper analyzes the statistics of traffic accidents in the urban agglomeration. Sections of the road network with repeated types of traffic accidents have been identified. The issues of development of the theory of modeling of transport flows are considered. A fuzzy inference model based on the basic data of the traffic situation has been developed. A rule base has been formulated that allows determining the speed of traffic flow depending on the parameters of the traffic flow and the traffic situation.
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