Data Mining in Traffic Flow Analysis of City Tunnel

被引：0

作者：

Ma, Chengqian ^{[1
]}

Yuan, Jingling ^{[1
]}

Zhong, Luo ^{[1
]}

Yue, Xi ^{[1
]}

机构：

[1] Wuhan Univ Technol, Comp Sci & Technol Sch, Wuhan 430070, Peoples R China

来源：

FIRST INTERNATIONAL WORKSHOP ON DATABASE TECHNOLOGY AND APPLICATIONS, PROCEEDINGS | 2009年

关键词：

data minning; traffic flow; clustering analysis; analysis Services;

D O I：

10.1109/DBTA.2009.59

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The elementary theories and methods of data mining technology is introduced, and specifically applied the data mining technology to the Uprising Square Tunnel traffic flow in the city of Wuhan. Using the clustering analysis tools provided by SQL SERVER 2000, we first carry on the clean to the primary data, and then set up a data mining model, finally carry on the analysis to the result to obtain some traffic characteristics of the tunnel. This information not only helps the tunnel administrative personnel to manage the tunnel more effectively, but also facilitate driving personnel's going on a journey.

引用

页码：199 / 201

页数：3

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