基于模糊聚类的冰雪融冻期交通流状态分析

Traffic Flow Situation during Snow Melt Period Based on Fuzzy Clustering

在收集大量冰雪融冻期和非冰雪期速度和密度数据的基础上,提出采用模糊c均值的算法对这两个时期的交通流状态进行聚类分析。分别将冰雪融冻期和非冰雪期的交通流状态分为了3类、4类和6类,通过比较分析发现冰雪融冻期的交通流状态比非冰雪期的规律性更强,基本上4类足以描述冰雪融冻期的各种交通流状态。

Clustering analysis of traffic flow situation in snow melt period and non-ice period was made by the arithmetic of FCM in terms of a large amount of data of speed and density in the two periods. The traffic flow situation in the two periods was classified into three, four and six types, respectively. Results show that the regularity of traffic flow situation for the snow melt period is more obvious than that for the non-ice period by comparing and analyzing the traffic flow situation in the two periods. The traffic flow situation in the snow melt period can be well explained by four types.