非监督分类在城市交通分区中的应用  

Application of Unsupervised Classification in Traffic Division

作　　者：吴莎莎[1] 韩振芳[1] 何志芳[1] 

机构地区：[1]河北北方学院理学院,河北张家口075000

出　　处：《河北北方学院学报（自然科学版）》2013年第3期12-18,24,共8页Journal of Hebei North University:Natural Science Edition

摘　　要：讨论了交通分区问题,介绍了交通分区的必要性,针对交通设施状况、运行状况、环境状况,选取9个指标进行城市交通分区。综述了采用非监督分类方法进行交通分区的原理,在此基础上研究了城市交通系统分区的过程,对城市交通进行分析和评价提供了一些有用的资料。以北京城区交通网络划分为例。The traffic division problems were focused in this paper.Firstly,nine indicators were selected from the conditions of transportation facilities,traffic operating and traffic environment.And then the principle of the initial traffic division with the method of unsupervised classification,ISODATA algorithm,was described.Based on this,urban traffic cluster system was explored.The result of classification is effective.The division of traffic network of Beijing City was introduced as a case of study.

关 键 词：交通分区 ISODSTA算法 非监督分类 分区索引 

分 类 号：S[农业科学]