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.
出处
《盐城工学院学报（自然科学版）》
CAS
2009年第4期73-76,共4页
Journal of Yancheng Institute of Technology:Natural Science Edition
关键词
小时交通量
交通时段划分
车辆数变化
C均值聚类
hour traffic volume
traffic time division
change of vehicles
C means clustering algorithm
