中国物理B ›› 2010, Vol. 19 ›› Issue (8): 80205-080205.doi: 10.1088/1674-1056/19/8/080205

• • 上一篇    下一篇

Long-range correlation analysis of urban traffic data

盛鹏1, 王俊峰1, 赵树龙1, 唐铁桥2   

  1. (1)School of Computer Science, Sichuan University, Chengdu 610064, China; (2)School of Transportation Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
  • 收稿日期:2009-10-28 修回日期:2009-12-05 出版日期:2010-08-15 发布日期:2010-08-15
  • 基金资助:
    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).

Long-range correlation analysis of urban traffic data

Sheng Peng (盛鹏)ab, Wang Jun-Feng (王俊峰)ab, Tang Tie-Qiao (唐铁桥)c, Zhao Shu-Long (赵树龙)ab   

  1. a School of Computer Science, Sichuan University, Chengdu 610064, China; b Key Laboratory of Fundamental Synthetic Vision Graphics and Image Science for National Defense, Sichuan University, Chengdu 610064, China; c School of Transportation Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
  • Received:2009-10-28 Revised:2009-12-05 Online:2010-08-15 Published:2010-08-15
  • Supported by:
    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).

PDF (PC)

829

赞

摘要： 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.

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.

Key words: urban traffic data, long-range correlation, detrended fluctuation analysis, special traffic restriction

中图分类号:  (Fluctuation phenomena, random processes, noise, and Brownian motion)

  • 05.40.-a
89.40.Bb (Land transportation)