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2009 First International Workshop on Database Technology and Applications
Data Mining in Traffic Flow Analysis of City Tunnel
Wuhan, Hubei, China
April 25-April 26
ISBN: 978-0-7695-3604-0
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.
Index Terms:
data minning, traffic flow, clustering analysis, analysis services
Citation:
Chengqian Ma, Jingling Yuan, Luo Zhong, Xi Yue, "Data Mining in Traffic Flow Analysis of City Tunnel," dbta, pp.199-201, 2009 First International Workshop on Database Technology and Applications, 2009
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