Distributed Storage and Analysis of Massive Urban Road Traffic Flow Data Based on Hadoop

摘要：

　　Because of the traditional methods failing to solve the efficient storage and analyze the problems with rapid growth of the massive traffic flow data, This paper adopts the distributed database HBase of Hadoop to store huge amounts of the urban road traffic flow data.By applying the distributed computing framework of MapReduce, statistical analysis of the traffic flow data is carried out.The experimental results validate the ability of Hadoop cluster, whose efficient storage, computing, scalability can deal with the problem of storing and processing the massive traffic flow data.

关键词： traffic flow Hadoop HBase MapReduce distributed database

作者: Liujiang Zhu Yun Li

作者单位: College of Information Engineering Yangzhou University Yangzhou 225009, China

会议类型: 国际会议

会议名称: The 12th Web Information System and Application Conference第十二届全国Web信息系统及其应用学术会议(WISA2015)、全国第十次语义Web 与本体论学术研讨会(SWON2015)、全国第九次电子政务技术及应用学术研讨会(EGTA2015)

会议地点: 济南

会议语种:英文

页码: 75-78

在线出版日期: 2015-09-11（万方平台首次上网日期，不代表论文的发表时间）