Multiscale Diffusion Entropy Analysis on Traffic Index Series
2014 ◽
Vol 556-562
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pp. 3553-3557
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Keyword(s):
In this paper, we present a multiscale diffusion entropy analysis (DEA) for describing the traffic fractal dynamics with a spectrum of scale exponents . The method combines DEA with moving fitting window to analyze the traffic index (TI) series in different scales and shows more details of scale properties and provides a reliable analysis. We also quantify the effects of weather, traffic peaks on scale spectrum. The results indicate clearly that at large scales, the exponents show large volatility and they all have their own scale patterns. The multiscale DEA method provides new ways to measure the TI series and distinguishes groups in different conditions.
2014 ◽
Vol 413
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pp. 438-458
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2020 ◽
Vol 560
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pp. 125122
Keyword(s):
2006 ◽
Vol 367
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pp. 337-344
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2014 ◽
Vol 13
(01)
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pp. 1450001
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Keyword(s):
Keyword(s):
2016 ◽
Vol 450
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pp. 462-465
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