{"title":"交通拥堵管理系统:一种机器学习方法","authors":"Ankush Jain, Ankur Kumar","doi":"10.18701/IMSMANTHAN.V12I01.10338","DOIUrl":null,"url":null,"abstract":"Traffic congestion is one of the major issues that is faced in most of the modern cities. It\nresults from rapid urbanization and has a negative influence upon the society. Hence there is\nan urgent need for solutions to tackle this issue. This paper presents a traffic congestion\nmanagement system which will help in predicting and controlling the traffic. The system will\nmake use of Machine Learning technology in R programming language and Big Data analysis.","PeriodicalId":135569,"journal":{"name":"The Journal of Innovations","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Traffic Congestion Management System : An Approach with Machine Learning\",\"authors\":\"Ankush Jain, Ankur Kumar\",\"doi\":\"10.18701/IMSMANTHAN.V12I01.10338\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traffic congestion is one of the major issues that is faced in most of the modern cities. It\\nresults from rapid urbanization and has a negative influence upon the society. Hence there is\\nan urgent need for solutions to tackle this issue. This paper presents a traffic congestion\\nmanagement system which will help in predicting and controlling the traffic. The system will\\nmake use of Machine Learning technology in R programming language and Big Data analysis.\",\"PeriodicalId\":135569,\"journal\":{\"name\":\"The Journal of Innovations\",\"volume\":\"108 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Innovations\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18701/IMSMANTHAN.V12I01.10338\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Innovations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18701/IMSMANTHAN.V12I01.10338","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Traffic Congestion Management System : An Approach with Machine Learning
Traffic congestion is one of the major issues that is faced in most of the modern cities. It
results from rapid urbanization and has a negative influence upon the society. Hence there is
an urgent need for solutions to tackle this issue. This paper presents a traffic congestion
management system which will help in predicting and controlling the traffic. The system will
make use of Machine Learning technology in R programming language and Big Data analysis.
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