DocumentCode
3379905
Title
The long-term correlation of conditional time series of traffic time series
Author
Zhang, Hong ; Liu, Zhimin ; Dong, Keqiang
Author_Institution
Dept. of Math., Hebei Univ. of Eng., Handan, China
fYear
2009
fDate
13-14 Dec. 2009
Firstpage
240
Lastpage
242
Abstract
In this paper, we investigates the traffic flow time series observed on the Beijing second ring road over a period of about 27 days, from 0:00 a.m. on 12/6/2006 to 16:00 p.m. on 1/1/2007. Using rescaled range method, the long-range dependence of traffic time series and their conditional time series are estimated. For getting more information of the conditional series, this paper studies how the threshold value q affects the correlations of the conditional time series.
Keywords
correlation methods; road traffic; time series; conditional time series; long-term correlation; traffic flow time series; Biomedical engineering; Fractals; Hydrology; Mathematics; Power generation economics; Roads; Statistics; Telecommunication traffic; Traffic control; Vehicles; Hurst exponent; conditional time series; correlation; rescaled range method; traffic time series;
fLanguage
English
Publisher
ieee
Conference_Titel
BioMedical Information Engineering, 2009. FBIE 2009. International Conference on Future
Conference_Location
Sanya
Print_ISBN
978-1-4244-4690-2
Electronic_ISBN
978-1-4244-4692-6
Type
conf
DOI
10.1109/FBIE.2009.5405895
Filename
5405895
Link To Document