基于模糊C均值聚类的快速路交通流相态划分

交通相态的识别问题是智能交通系统里一个关键问题，基于模糊C均值聚类分析可以很好地解决这种没有先验知识情况下的分类问题。文中介绍了三相流理论，根据我国实测快速路交通流数据，利用模糊C均值聚类方法对交通流相态的分类进行了研究，实现了一种交通相态的划分方法，研究结果表明：该方法能够识别出三相流理论中的自由流和同步流状态。

Classification of Three-phase Traffic Flow of Urban Expressway Based on Fuzzy C-means Clustering

The identification of the traffic phase is a key problem in intelligent transportation system.The clustering analysis can solve such classification problem without prior knowledge.The three-phase traffic theory was introduced,and a fuzzy C-means clustering method was used to study the classification of traffic flow phases based on the field traffic flow data of urban expressway in China.Thus,a method to class the traffic phase was achieved.The result shows that this method can identify the free flow and syn...