The long-term correlation of conditional time series of traffic time series

Zhang, Hong; Liu, Zhimin; Dong, Kuiran

doi:10.1109/fbie.2009.5405895

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Improved Multifractal Algorithm Based On Emd1

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2013

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“…Multifractal starting from the local dynamical systems to study the overall characteristics of the geometric characteristics of the signal, not only to be able to portray, but also to be finer portray the local scale behavior of the signal. For simplicity, box-counting method is selected to calculate multifractal spectrum of the signal [9].…”

Section: Improved Multifractal Algorithm Based On Emdmentioning

confidence: 99%

Fractal Characteristics of Mountain Cities' Traffic Flow Based on EMD and Multifractal

Zhao

Cao

2013

AMR

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Aim at the characteristics of the mountain cities road traffic network, the short-time data signals in the congestion state of the road network traffic is analyzed. Fractal characteristics of traffic data signal is in research based on the self-similarity of the traffic data signals. The non-stationary property of the traffic flow signal in the congestion state is known through the calculation of the multifractal spectrum of the traffic flow signal based on EMD. The experimental results show the feasibility of the method, which also can provide theoretical support for the traffic flow control of the mountain city road network in the sub-health state.

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Section: Improved Multifractal Algorithm Based On Emdmentioning

confidence: 99%