{"title":"根据 \"漂浮 \"车辆的交通状况数据，评估交通拥堵区域","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":"{\"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}","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}
ASSESSMENT TRAFFIC CONGESTION AREAS BASED ON DATA ABOUT TRAFFIC CONDITIONS OF «FLOATING» CARS
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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