{"title":"ASSESSMENT TRAFFIC CONGESTION AREAS BASED ON DATA ABOUT TRAFFIC CONDITIONS OF «FLOATING» CARS","authors":"Julia Gantimurova","doi":"10.36629/2686-777x-2023-1-17-221-224","DOIUrl":null,"url":null,"abstract":"Effective forecasting of traffic congestion on the road network benefits various road users. The article provides an analysis of traffic conditions based on data received from “floating” cars in order to assess traffic congestion zones","PeriodicalId":280015,"journal":{"name":"Bulletin of the Angarsk State Technical University","volume":" 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of the Angarsk State Technical University","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36629/2686-777x-2023-1-17-221-224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
Effective forecasting of traffic congestion on the road network benefits various road users. The article provides an analysis of traffic conditions based on data received from “floating” cars in order to assess traffic congestion zones
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