Data Mining in Traffic Flow Analysis of City Tunnel
Chengqian Ma, Jingling Yuan, Luo Zhong, Xi Yue · 2009
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.