探测交通时间序列长相关性的多重分形<br /> 消除趋势波动分析方法<br />
Journal Title: Science Paper Online - Year 2006, Vol 1, Issue 2
Abstract
交通时间序列的多重分形性通常与交通流时间序列的长相关性或概率密度函数有关。本文应用多重分形消除趋势波动分析（MF-DFA）方法来研究交通流时间序列。通过分析北京玉泉营快速路的速度时间序列，我们发现速度时间序列存在一个时间标度值，其前后的信号分别具有不同的相关指数。最后，我们用MF-DFA方法对原始序列和扰动序列进行分析比较，发现交通时间序列的多重分形性主要是由交通流的相关性决定的。
Authors and Affiliations
Pengjian Shang , Jianling Yu
Keywords
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