基于信息熵的城市隧道实时交通事件检测聚类  

Research on entropy-based city tunnel real-time traffic incident detection clustering algorithm

作　　者：陈曦[1] 

机构地区：[1]长江师范学院数学与计算机学院,重庆408100

出　　处：《计算机工程与应用》2013年第8期249-252,共4页Computer Engineering and Applications

摘　　要：采用空间聚类技术进行有用信息的获取具有重要的现实意义。针对城市隧道实时路况的特点，提出了基于信息熵的城市隧道实时交通事件检测聚类算法ECRT（Entropy—based City Tunnel Real-time），把与城市隧道相关的对象看作实时路况的属性，计算城市隧道间的信息熵，根据信息熵的变化实现城市隧道实时路况的聚类。运用算法ECRT在实际数据集上进行测试，实验结果表明算法ECRT是有效的。The use of spatial clustering technology has important practical significance to obtain useful information. This paper considers real-time traffic for the city tunnel characteristics, then, puts forward ECRT （Entropy-based City Tunnel Real-time）, the object associated with the city tunnel is regarded as real-time traffic properties to calculate the entropy of information between the city tunnel, it achieves real-time traffic urban tunnel clustering based on information entropy change. The algorithm ECRT is used to test in the actual data set, the results show that the algorithm ECRT is effective.

关 键 词：信息熵 城市隧道实时 空间数据挖掘 聚类 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]