交通流时间序列中混沌特性判定的替代数据方法

The identification of chaos in traffic flow using surrogate-data technique

替代数据方法是判定时间序列中是否具有混沌特性的一种有效方法 ,本文介绍了该方法中一种基于关联维数的混沌判据。并将该方法应用于 1 5分钟和 5分钟采样周期的实测交通流时间序列中 ,计算结果表明交通序列中含有混沌特性。

The surrogate data technique is one of the effective methods to identify the chaos in the time series.In this paper,we introduce a kind of surrogate data method based on correlation dimension.Then,we use this method into the real time series of traffic flow with sampling period of 15 and 5 minutes,the results indicate that there are chaos in the traffic flow.