摘要
提出了一种交通数据流软划分算法,该算法利用STREAM算法对交通数据流进行了聚类分析,得到了能够反映交通状况不同特征的聚类结果,然后对聚类结果进行了数据挖掘和交通数据流趋势预测。最后在数据流值预测结果的基础上,采用基于云模型划分的算法对交通的预测流值进行分析,得到了更加灵活的控制策略。
This paper proposes a dynamic soft classifying algorithm of traffic data stream,which employs STREAM algorithm to cluster traffic data stream,obtains some categories that are able to reflect the different traffic status.Then,the data mining and the data stream tendency forecast are implemented,and those forecasting values of data stream are analyzed by soft classifying based on cloud model and more flexible control tactics are obtained.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第28期217-219,245,共4页
Computer Engineering and Applications