模糊聚类分析在铁路快运网络规划中的应用
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摘要
分析快捷运输运力网络的特征、规划目标、规划原则和基本流程,提出运用模糊聚类分析规划快运运力网络的基本方法。运用F—聚类建立初始划分,利用迭代自组织数据分析基于目标函数优化的特点和方法,求解出运力网络节点的分类。结合铁路发展实际,选择主要省级及以上经济中心点27个,其他主要区域经济中心点17个作为基本节点;选择国内生产总值、全部工业总产值、产品销售收入、社会消费品零售总额、货运量和交通环境等6个指标作为聚类分析的特征指标,进行模糊聚类分析。根据聚类结果和铁路运输条件,规划出由10个关键节点、13个重要节点和15个一般节点构成的快捷货物运输运力网络。规划的节点既体现了快捷运输组织的现实,又反映了发展的趋势。
Based on analyses of characters, planning aims, planning principles and fundamental program of the transportation network of express goods, a basic way of planning the network is advanced by applying fuzzy clustering analysis. Preliminary sorts of the network nodes are set up by using the Fclustering method, and then the fuzzy objective function and its algorithm are worked out by applying ISODATA. On performance of China railway current development, economic centers are figured out, including 27 national or provincial centers and other 17 main district centers, and 6 indexes are considered as character indexes, that is GDP, Total Gross Industrial Output, Production Sales Revenue, Total Retail Sales of Consumer Goods, Volume of Freight Transport and Traffic Condition. As a result of clustering analysis and railway transport conditions, the transport network of express goods is designed, that contains 10 key nodes, 13 main nodes and 15 general nodes. The network can not show the practical status, but also points out the developing trend of express freight transport.
Based on analyses of characters, planning aims, planning principles and fundamental program of the transportation network of express goods, a basic way of planning the network is advanced by applying fuzzy clustering analysis. Preliminary sorts of the network nodes are set up by using the Fclustering method, and then the fuzzy objective function and its algorithm are worked out by applying ISODATA. On performance of China railway current development, economic centers are figured out, including 27 national or provincial centers and other 17 main district centers, and 6 indexes are considered as character indexes, that is GDP, Total Gross Industrial Output, Production Sales Revenue, Total Retail Sales of Consumer Goods, Volume of Freight Transport and Traffic Condition. As a result of clustering analysis and railway transport conditions, the transport network of express goods is designed, that contains 10 key nodes, 13 main nodes and 15 general nodes. The network can not show the practical status, but also points out the developing trend of express freight transport.
引文
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[2]李宗元,徐向阳.运筹学ABC [M].北京:经济管理出版社,2000.
[3]朱晓宁.集装箱多式联运通道规划理论与方法[M].北京:中国铁道出版社,2002.
[4]冯德益,楼世博.模糊数学方法与应用[M].北京:地震出版社,1983.
[5]张维,潘福铮.一种基于遗传算法的模糊聚类[J].湖北大学学报,2002,24(2):101—104.
[6]黄健元.模糊ISODATA聚类分析方法的改进[J].南京航空航天大学学报,2000,32(02):179—183.
[7] Roubens, M. Fuzzy Clustering Algorithms and Their Cluster Validity [J]. European Journal of Operational Research,1982,10(3):294—301.
[8] Miin Shen Yang, Hsing Mei Shin. Cluster Analysis Based on Fuzzy Relations [J]. Fuzzy Sets and Systems,2001,120(1):197—212.
[9]铁道部运输局.货物列车编组计划[Z].北京:铁道部,2002.
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