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Power-law fluctuation in expressway traffic flow: Detrended fluctuation analysis

机译:高速公路交通流量中的幂律波动:去趋势波动分析

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摘要

The temporal behavior of expressway traffic flow is a complex mixture of various time scales. The fundamental response time of drivers is on the order of 1 s, and the periodic appearances of traffic congestion reflect Our social activities. We need some filters to extract proper dynamical fluctuations from raw observed traffic data. We employ the detrended fluctuation analysis (DFA) for studying long-range correlation in the time sequence of traffic flow. The time series of expressway traffic flow is understood to consist of periodic trends with power-law fluctuation. The power spectrum P(k) behaves as P(k) similar to k(-beta) with beta similar to 1. The power-law fluctuation is observed in the wide time range from minutes to months.
机译:高速公路交通流的时间行为是各种时标的复杂混合。驾驶员的基本响应时间约为1 s,交通拥堵的周期性出现反映了我们的社会活动。我们需要一些过滤器,以从原始观测到的流量数据中提取适当的动态波动。我们采用去趋势波动分析(DFA)研究交通流时间序列中的长期相关性。高速公路交通流量的时间序列应理解为包括具有幂律波动的周期性趋势。功率谱P(k)的行为类似于P(k),类似于k(-beta),β类似于1。在从数分钟到数月的宽范围内都观察到了幂律波动。

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