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在阐述数据挖掘技术和方法的基础上,研究了基于统计理论的聚类方法。利用微软SQLServer2000提供的聚类数据挖掘方法对某个公路隧道交通流的数据进行了聚类分析,并对数据结果进行了详细的解析,得到该隧道交通流的一些特性信息,如:何时该隧道交通流最大等。根据这些信息,可以针对不同的交通量特点安排隧道监控设备的控制方案及系统的维护方案,以保障公路隧道交通的畅通和安全。
Based on the expatiation of data mining techniques and methods, the clustering method based on statistical theory is studied. The cluster data mining method provided by Microsoft SQL Server 2000 is used to cluster the data of a highway tunnel traffic flow and the data results are analyzed in detail to get some characteristic information of the tunnel traffic flow such as when Tunnel traffic flow and so on. According to these information, we can arrange the control scheme of tunnel monitoring equipment and the maintenance scheme of the system according to the different traffic characteristics to ensure the traffic and safety of highway tunnel traffic.