期刊论文

Sheng Zhang

英文

International Journal of Intelligent Transportation Systems Research

1348-8503

2019

17

1

1-8

10.1007/s13177-017-0151-5

Acknowledgments We are indebted to the Associate Editor and our three anonymous referees for their thoughtful comments that have helped substantially improve this work. This research has been substantially supported by the research grants from the National Natural Science Foundation Council of China (51408058, 51338002, and 51508041), and Open Fund of Engineering Research Center of Catastrophic Prophylaxis and Treatment of Road & Traffic Safety(Changsha University of Science & Technology), Ministry of Education, under grant number kfj130301.

本校为第一且通讯机构

Based on the analysis of the field traffic flow time series, we found that there is self-similarity and periodic similarity in the traffic flow of different observation scales, which makes the short-term traffic flow prediction a meaningful work. For the purpose of finding the smallest prediction cycle, fractal analysis was conducted in the relation between the observation scale and the prediction cycle by using both the field data and the simulated data. We calculate the fractal dimension and the scaling region of traffic flow time series by u...