Long-range correlation analysis of urban traffic data

doi:10.1088/1674-1056/19/8/080205

Abstract This paper investigates urban traffic data by analysing the long-range correlation with detrended fluctuation analysis. Through a large number of real data collected by the travel time detection system in Beijing, the variation of flow in different time periods and intersections is studied. According to the long-range correlation in different time scales, it mainly discusses the effect of intersection location in road net, people activity customs and special traffic controls on urban traffic flow. As demonstrated by the obtained results, the urban traffic flow represents three-phase characters similar to highway traffic. Moreover, compared by the two groups of data obtained before and after the special traffic restrictions (vehicles with special numbered plates only run in a special workday) enforcement, it indicates that the rules not only reduce the flow but also avoid irregular fluctuation.

Keywords: urban traffic data long-range correlation detrended fluctuation analysis special traffic restriction

Received: 28 October 2009
Revised: 05 December 2009
Accepted manuscript online:

PACS:	05.40.-a	(Fluctuation phenomena, random processes, noise, and Brownian motion)
	89.40.Bb	(Land transportation)

Fund: Project supported by the National High Technology Research and Development Program of China (Grant Nos. 2008AA01Z208 and 2009AA01Z405), the Applied Basic Research Program of Sichuan Province of China (Grant No. 2010JY0013) and the Youth Foundation of Sichuan Province of China (Grant No. 2009-28-419).

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Sheng Peng (盛鹏), Wang Jun-Feng (王俊峰), Tang Tie-Qiao (唐铁桥), Zhao Shu-Long (赵树龙) Long-range correlation analysis of urban traffic data 2010 Chin. Phys. B 19 080205

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Long-range correlation analysis of urban traffic data

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