{"title":"The novel algorithm of bus-cluster phenomenon","authors":"Kai Yang, W. Wan, Guoliang Chen","doi":"10.1109/ICALIP.2016.7846650","DOIUrl":null,"url":null,"abstract":"With the development of the country, the number of private car is increased rapidly, so as to the traffic problem. During the traffic jam, the bus-cluster phenomenon that the same number of bus always come together. In this article, the algorithm of the bus-cluster phenomenon has been proposed, the proposed algorithm uses the traffic jam model and the bus arrival time predict model, it analyzes the reason of the bus-cluster phenomenon and the relationship between traffic jam and people crowd, it can be used to predict the bus arrival time and plan the urban traffic to avoid the traffic jam.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALIP.2016.7846650","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the development of the country, the number of private car is increased rapidly, so as to the traffic problem. During the traffic jam, the bus-cluster phenomenon that the same number of bus always come together. In this article, the algorithm of the bus-cluster phenomenon has been proposed, the proposed algorithm uses the traffic jam model and the bus arrival time predict model, it analyzes the reason of the bus-cluster phenomenon and the relationship between traffic jam and people crowd, it can be used to predict the bus arrival time and plan the urban traffic to avoid the traffic jam.