交通信息服务系统是智能交通系统的重要组成部分，本文针对交通信息服务系统中存在的模糊地名匹配问题，研究了空间数据挖掘方法中聚类分析方法，并提出了基于CURE 聚类方法的模糊地名匹配模型和算法。最后以广州市电子地图为例，对本文提出的算法进行了验证，实验证明采用该算法可以有效的提高空间信息的检索速度和模糊地名匹配效率。关键词：交通信息服务系统；空间数据挖掘；聚类分析；模糊地名匹配Abstract Travel Information Service Systems is one of important part of Intelligent Transportation System, In order to solve the problem of fuzzy place name matching in Travel Information Service Systems, The research of cluster analysis in spatial data mining methods was studied, and proposed a model and algorithm for fuzzy place name matching based on CURE clustering method. Finally, We verify the algorithm of this paper based on Guangzhou electronic map, the experiment proved that it can effectively improve the speed of spatial information retrieval and fuzzy place name matching rate.Keywords Travel Information Service Systems； Spatial Data mining; Cluster Analysis；Fuzzy Place Name Matching
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