To solve this problem, fluctuation similarity measure, such as dynamic time warping and gray relation grade, and the hierarchical clustering algorithm were used to further separate the traffic flow time series.

• 针对此问题，提出了将动态时间弯曲及灰色关联度引入交通流时间序列相似性度量，且结合层次化聚类方法对交通流时间序列进一步分离的方法。