摘要
根据当前的国内交通状况及今后的发展趋势,分析了以智能交通系统作为基础平台,提取交通信息对城市交通状况的预测、控制和管理的作用。并根据数据挖掘技术能在没有明确假设的前提下去挖掘信息、发现知识这一特点,着重讨论了在采集到的海量数据中提取信息所需的数据挖掘步骤,提出了数据挖掘的概念模型和技术框架。
According to the Domestic traffic conditions and its development trends in the future, this paper analyzed the intelligent transportation systems as the basic platform of extracting traffic information to play a role in the forecast , control and manage of the urban traffic con- ditions. Furthermore, depending on the the data mining technology of characteristics which could discover the information and knowledge in the obscure condition of assumption ,this paper focused on the steps needed to extract information of the huge amounts of data collected in the data mining , put forward the concept of a data mining model and technology framework.
关键词
数据挖掘
交通信息提取
智能交通系统(ITS)
data mining
extracting traffic information
Intelligent Transportation Systems （ITS）
