کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
975454 | 1480166 | 2014 | 9 صفحه PDF | دانلود رایگان |
• The traffic data on work days and rest days have a similar fluctuation.
• Hölder exponents among a day, a month, three months and a holiday’s data.
• The singularity exponent method is more precise than the Hölder exponent method.
Recent work has shown that the mathematics of multifractal can be used to provide a quantitative signature in many fields. In this paper, we investigate the traffic time series for volume data observed on Guangshen highway. Firstly, we find there exists a multifractal behavior in the traffic data, and the data on both work days and rest days have similar multifractality. Then, we study the singularity of these data. A singularity exponent method based on multifractal theory is proposed to extract or classify singular data, which is more precise and clear than the Hölder exponent method.
Journal: Physica A: Statistical Mechanics and its Applications - Volume 407, 1 August 2014, Pages 332–340