Cluster analysis used in dealing with traffic flow information

D.H. Wang, Z.S. Yang, H. Zhang
{"title":"Cluster analysis used in dealing with traffic flow information","authors":"D.H. Wang, Z.S. Yang, H. Zhang","doi":"10.1109/IVEC.1999.830637","DOIUrl":null,"url":null,"abstract":"Based on the relative relationships between the traffic volumes of intersections, the method of cluster analysis is adopted to classify the intersections in this article. The method is verified through data from the road network of Chang Chun city. This achievement can help us to solve the problem of predicting the traffic volume of the nondetector intersections. It makes it possible to realize the traffic flow guidance in the cites which don't have enough intersections equipped with detectors. Meanwhile it can provide a theory to decide the strategic intersections and to run the strategic intersections with more attention.","PeriodicalId":191336,"journal":{"name":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVEC.1999.830637","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

Based on the relative relationships between the traffic volumes of intersections, the method of cluster analysis is adopted to classify the intersections in this article. The method is verified through data from the road network of Chang Chun city. This achievement can help us to solve the problem of predicting the traffic volume of the nondetector intersections. It makes it possible to realize the traffic flow guidance in the cites which don't have enough intersections equipped with detectors. Meanwhile it can provide a theory to decide the strategic intersections and to run the strategic intersections with more attention.
聚类分析用于处理交通流信息
基于交叉口交通量之间的相对关系,本文采用聚类分析的方法对交叉口进行分类。通过长春市路网数据对该方法进行了验证。这一成果可以帮助我们解决无检测器交叉口的交通量预测问题。这使得在没有足够的交叉口配备检测器的城市中实现交通流引导成为可能。同时也为战略交叉口的确定和战略交叉口的管理提供了理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信