Highway Traffic Flow Nonlinear Character Analysis and Prediction
Joint Authors
Hui, Meng
Bai, Lin
Li, YanBo
Wu, QiSheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-16
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
In order to meet the highway guidance demand, this work studies the short-term traffic flow prediction method of highway.
The Yu-Wu highway which is the main road in Chongqing, China, traffic flow time series is taken as the study object.
It uses phase space reconstruction theory and Lyapunov exponent to analyze the nonlinear character of traffic flow.
A new Volterra prediction method based on model order reduction via quadratic-linear systems (QLMOR) is applied to predict the traffic flow.
Compared with Taylor-expansion-based methods, these QLMOR-reduced Volterra models retain more information of the system and more accuracy.
The simulation results using this new Volterra model to predict short time traffic flow reveal that the accuracy of chaotic traffic flow prediction is enough for highway guidance and could be a new reference for intelligent highway management.
American Psychological Association (APA)
Hui, Meng& Bai, Lin& Li, YanBo& Wu, QiSheng. 2015. Highway Traffic Flow Nonlinear Character Analysis and Prediction. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1075005
Modern Language Association (MLA)
Hui, Meng…[et al.]. Highway Traffic Flow Nonlinear Character Analysis and Prediction. Mathematical Problems in Engineering No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1075005
American Medical Association (AMA)
Hui, Meng& Bai, Lin& Li, YanBo& Wu, QiSheng. Highway Traffic Flow Nonlinear Character Analysis and Prediction. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1075005
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1075005