Multiple sources and multiple measures based traffic flow prediction using the chaos theory and support vector regression method

doi:10.1016/j.physa.2016.09.041

CORC > 上海财经大学 > 上海财经大学

	Multiple sources and multiple measures based traffic flow prediction using the chaos theory and support vector regression method
	Cheng, Anyu 1; Jiang, Xiao 1; Li, Yongfu 1; Zhang, Chao 2; Zhu, Hao 1
刊名	PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
	2017-01-15
卷号	466 页码:422-434
关键词	Traffic flow Chaos theory Bayesian estimation theory Support vector regression Phase space reconstruction Multiple measures
ISSN号	0378-4371
DOI	10.1016/j.physa.2016.09.041
英文摘要	This study proposes a multiple sources and multiple measures based traffic flow prediction algorithm using the chaos theory and support vector regression method. In particular, first, the chaotic characteristics of traffic flow associated with the speed, occupancy, and flow are identified using the maximum Lyapunov exponent. Then, the phase space of multiple measures chaotic time series are reconstructed based on the phase space reconstruction theory and fused into a same multi-dimensional phase space using the Bayesian estimation theory. In addition, the support vector regression (SVR) model is designed to predict the traffic flow. Numerical experiments are performed using the data from multiple sources. The results show that, compared with the single measure, the proposed method has better performance for the short-term traffic flow prediction in terms of the accuracy and timeliness. (C) 2016 Elsevier B.V. All rights reserved.
WOS研究方向	Physics
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000388547800040
内容类型	期刊论文
源URL	[http://10.2.47.112/handle/2XS4QKH4/1060]
专题	上海财经大学
通讯作者	Li, Yongfu
作者单位	1.Chongqing Univ Posts & Telecommun, Coll Automat, Chongqing 400065, Peoples R China; 2.Shanghai Univ Finance & Econ, Shanghai Key Lab Financial Informat Technol, Shanghai 200433, Peoples R China
推荐引用方式 GB/T 7714	Cheng, Anyu,Jiang, Xiao,Li, Yongfu,et al. Multiple sources and multiple measures based traffic flow prediction using the chaos theory and support vector regression method[J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2017,466:422-434.
APA	Cheng, Anyu,Jiang, Xiao,Li, Yongfu,Zhang, Chao,&Zhu, Hao.(2017).Multiple sources and multiple measures based traffic flow prediction using the chaos theory and support vector regression method.PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,466,422-434.
MLA	Cheng, Anyu,et al."Multiple sources and multiple measures based traffic flow prediction using the chaos theory and support vector regression method".PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 466(2017):422-434.