Application of K-means Algorithm Based on Ant Clustering Algorithm in Macroscopic Planning of Highway Transportation Hub

摘要：

Development of highway transportation promotes sustainable and rapid development in economy of our country effectively. But construction of highway and transportation hub shows the nature of unbalance. So highway main hub cities must be clustered using cluster analysis, and then divided level in order to functional analyze. K-means algorithm is the most widely used algorithm in clustering analysis, which clustering numbers and initial clustering centers are uncertain. This paper proposes application of Kmeans algorithm in macroscopic planning of highway transportation hub based on ant clustering algorithm. The experimental results show this algorithm can more effectively solved clustering problem than Kmeans algorithm and ant clustering algorithm.

关键词： Ant Clustering Algorithm Highway Transportation K-means Algorithm Main Hub Cities

作者: Yan Meng Xiyu Liu

作者单位: Department of Management and Economy, Shandong Normal University, Jinan 250014, China

会议类型: 国际会议

会议名称: 第一届国际教育信息技术及应用研讨会(2007 1st International Symposium on Information Technologies and Applications in Education(ISITAE 2007))

会议地点: 昆明

会议语种:英文

在线出版日期: 2007-11-23（万方平台首次上网日期，不代表论文的发表时间）