Home > Papers

 
 
Empirical mode decomposition of traffic time series
Jianhai Yue,Keqiang Dong *,Pengjian Shang
Beijing Jiaotong University
*Correspondence author
#Submitted by
Subject:
Funding: none
Opened online: 9 February 2010
Accepted by: none
Citation: Jianhai Yue,Keqiang Dong,Pengjian Shang.Empirical mode decomposition of traffic time series[OL]. [ 9 February 2010] http://en.paper.edu.cn/en_releasepaper/content/40111
 
 
We apply an important tool to extract the traffic cycle signal from traffic data. An alternative to traditional analysis is a non-linear empirical mode decomposition (EMD) method. This method is adaptive and therefore highly efficient at identifying embedded structures, even those with small amplitudes. Using this analysis, the traffic time series are completely decomposed into five non-stationary temporal modes including a 24-hour cycle signal, a 1-week cycle signal and a trend. It indicates that EMD can be used to analyze and interpret the traffic flow
Keywords:Traffic flow;Empirical mode decomposition;time series analysis
 
 
 

For this paper
  • ● PDF (0B)
  • ● Revision 0 　　
  • ● Print this paper
  • ● Recommend this paper to a friend
  • ● Add to my favorite list

    Saved Papers

    Please enter a name for this paper to be shown in your personalized Saved Papers list

Tags
Add yours

Related Papers

Statistics
PDF Downloaded 355
Bookmarked 0
Recommend 5
Comments Array
Submit your papers