RTIC-C: A Cloud Computing Platform for History Data Mining of Traffic Information

T. Zhu, Jianjun Yu, Bowen Du
{"title":"RTIC-C: A Cloud Computing Platform for History Data Mining of Traffic Information","authors":"T. Zhu, Jianjun Yu, Bowen Du","doi":"10.1109/ICCVE.2012.61","DOIUrl":null,"url":null,"abstract":"Realtime traffic information system produces massive traffic data with the process of collecting the realtime original transportation data, processing the GPS (Global Positioning System) data and publishing the realtime traffic information, which would bring several issues when we reuse these massive traffic data for history data mining, such as massive storage, high performance processing, open interface. Cloud computing delivers computing and storage capacity as a transparent service, which inspires us to develop a cloud infrastructure for history data mining applications of traffic information named RTIC-C. RTIC-C designs a distributed data management service to support large scale of data storage, a parallel distributed computing framework for diverse kinds of mining applications based on the map-reduce mechanism, finally RTIC-C provides a restful Web services interface to support third-party applications.","PeriodicalId":182453,"journal":{"name":"2012 International Conference on Connected Vehicles and Expo (ICCVE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Connected Vehicles and Expo (ICCVE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCVE.2012.61","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Realtime traffic information system produces massive traffic data with the process of collecting the realtime original transportation data, processing the GPS (Global Positioning System) data and publishing the realtime traffic information, which would bring several issues when we reuse these massive traffic data for history data mining, such as massive storage, high performance processing, open interface. Cloud computing delivers computing and storage capacity as a transparent service, which inspires us to develop a cloud infrastructure for history data mining applications of traffic information named RTIC-C. RTIC-C designs a distributed data management service to support large scale of data storage, a parallel distributed computing framework for diverse kinds of mining applications based on the map-reduce mechanism, finally RTIC-C provides a restful Web services interface to support third-party applications.
RTIC-C:交通信息历史数据挖掘的云计算平台
实时交通信息系统通过采集实时原始交通数据、处理GPS数据、发布实时交通信息等过程产生海量的交通数据,在对这些海量交通数据进行历史数据挖掘时,会带来海量存储、高性能处理、开放接口等问题。云计算将计算和存储能力作为一种透明的服务来提供,这激发了我们开发交通信息历史数据挖掘应用的云基础设施,命名为RTIC-C。RTIC-C设计了支持大规模数据存储的分布式数据管理服务,设计了基于map-reduce机制的多种挖掘应用的并行分布式计算框架,最后提供了支持第三方应用的restful Web服务接口。
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:604180095
Book学术官方微信