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应用去趋势波动分析法研究交通流时间序列的复杂性,探讨了混合交通流时间序列演变行为的标度指数.根据标度指数的变化特征,进而揭示交通流时间序列所具有的长程相关性和短程相关性.通过分析发现,存在一密度ρ,当ρ1<ρ<ρ2时,交通流时间序列具有长程相关性;而当ρ<ρ1或ρ>ρ2时,交通流时间序列具有短程相关性,即密度的变化影响着标度指数的变化.另外分析了在不同慢车比率条件下时间序列的标度指数,发现慢车比率的变化对标度指数有一定的影响.
This paper studies the complexity of traffic flow time series by using the trend fluctuation analysis method and explores the scale index of the evolution behavior of the mixed traffic flow time series.According to the variation characteristics of the scale index and then reveals the long-range correlation of traffic flow time series and The short-range correlation shows that there is a density ρ, and when ρ1 <ρ <ρ2, the traffic flow time series has long-range correlation; when ρ <ρ1 or ρ> ρ2, the traffic flow time series has short-range correlation, That is, the change of density affects the change of scale index.Secondly, the paper analyzes the scale index of time series under different local car speed ratio, and finds that the change of local car speed has a certain influence on the scale index.