模糊c均值聚类在交通流高峰期确定中的应用

An Application of Fuzzy c-Means Clustering Algorithm in Determination of Traffic-Flow Peak Hours

交通流高峰期是交通规划、交通控制中一个非常重要的概念.目前高峰期一般是凭经验人为确定的.文章利用模糊c均值聚类方法对交通流高峰期的确定问题进行研究.首先对模糊c均值聚类算法进行简要介绍,然后利用该算法对某城间高速公路交通流数据进行聚类分析,分别确定了该高速公路正、反向交通流的高峰期.结果表明,该算法聚类结果与经验交通流高峰期基本一致。

The peak hours of traffic flow is a very important concept in traffic control and programming. It is usually determined by one＇s experience at present. In the paper, the determination problem of the traffic-flow peak hours is studied by fuzzy c-means clustering method. First, the algorithm of fuzzy c- means clustering is simply introduced. Then, the algorithm is applied to determine respectively the peak horns of traffic flow in both directions of certain freeway which is located between two cities. The result indicates that the peak hours of traffic flow determined by this method are basically accordant with experiential results.