The results indicate that there is chaos in the real traffic flow and the improved surrogate-data technique can identify chaos exactly.
实证结果表明，我们实测的交通流中存在混沌，改进型的替代数据法能对其进行准确判别。
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.
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。
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