基于C均值聚类算法的交通时段划分方法研究  

Study on the Method of Traffic Time Division Based on C Means Clustering Algorithm

作　　者：王春娥[1] 

机构地区：[1]盐城工学院材料工程学院,江苏盐城224051

出　　处：《盐城工学院学报（自然科学版）》2009年第4期73-76,共4页Journal of Yancheng Institute of Technology:Natural Science Edition

摘　　要：根据小时交通量实现交通时段的划分不能满足交通需求,对以分钟为单位的车辆数变化特性进行研究成为当务之急。首先确定了合理的数据分析周期为5~10m in。根据C均值聚类算法能根据数据的相似性度量将数据集划分成一定数目的子集,设计了基于C均值聚类算法的交通时段划分法。利用实际数据验证了方法是准确可靠的。The change of vehicles in minute has become a pressing research,because the traffic time division based on hour traffic volume can not meet the traffic demand.So the paper firstly determines a reasonable period of data analysis of the 5 ~ 10min.Based on similarity measure of data,C means clustering algorithm can set data into subset.The paper designs the traffic time division method based on the C-means clustering algorithm.The algorithm is accurated and reliable which can be verified by actual data.

关 键 词：小时交通量 交通时段划分 车辆数变化 C均值聚类 

分 类 号：U491.4[交通运输工程—交通运输规划与管理]