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이석희(Seokhee Lee),김천중(Cheonjung Kim),곽윤식(Yoonsik Kwak),강형일(Hyungil Kang),고대식(Daesik Ko),송석일(Seokil Song) 한국정보기술학회 2013 한국정보기술학회논문지 Vol.11 No.3
Recently, proposed trajectory clustering methods for road network has been focused on finding out frequent single paths. However, with considering the similarity between adjacent paths finding the set of frequent similar paths are also important. In this paper, we propose a clustering method for finding out frequent similar paths by enhancing the existing trajectory clustering methods in road network. Consequently, we present an approximate similarity measuring method between two paths. Then, based on the similarity measuring method, we propose a trajectory clustering method that finds out frequent similar paths. Finally, we implement our proposed clustering method based on RDBMS with SQL interface, and present the experimental results to show our proposed method works well.