摘要
分析了现有编组站分类标准的不适应性,提出了编组站分类的主要技术指标,运用模糊聚类分析方法对编组站分类问题进行研究。首先运用模糊c-划分方法对编组站进行合理的空间划分,在此基础上采用模糊聚类ISODATA方法对编组站进行聚类分析,并利用划分系数Fc(U)和划分的平均模糊熵Hc(U)对聚类效果进行评价,最后对我国铁路现有49个编组站进行了大规模聚类分析。依据聚类结果提出了新时期我国铁路编组站的分类标准,为量化的研究编组站分类问题提供了新的方法。
The deficiency of nowadays' railway marshalling station classification standard was analyzed,and the technique indexes of the classification were put forward.The classification study adopting fuzzy clustering analysis and the suitable spatial division were performed using fuzzy c-division method.The clustering analysis was made with the fuzzy clustering ISODATA method.Finally,a new standard was put forward based on analyzing 49 railway marshalling stations in China.This paper provided a new approach for the quantitative research of marshalling station classification.
出处
《交通运输工程与信息学报》
2011年第3期22-25,48,共5页
Journal of Transportation Engineering and Information
关键词
模糊聚类
编组站分类
分类标准
Fuzzy clustering
marshalling station classification
classification standards