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Short-Term Traffic Flow Local Prediction Based on Combined Kernel Function Relevance Vector Machine Model
Joint Authors
Bing, Qichun
Zhou, Xiyang
Gong, Bowen
Shang, Qiang
Yang, Zhao-Sheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-05
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Short-term traffic flow prediction is one of the most important issues in the field of adaptive traffic control system and dynamic traffic guidance system.
In order to improve the accuracy of short-term traffic flow prediction, a short-term traffic flow local prediction method based on combined kernel function relevance vector machine (CKF-RVM) model is put forward.
The C-C method is used to calculate delay time and embedding dimension.
The number of neighboring points is determined by use of Hannan-Quinn criteria, and the CKF-RVM model is built based on genetic algorithm.
Finally, case validation is carried out using inductive loop data measured from the north–south viaduct in Shanghai.
The experimental results demonstrate that the CKF-RVM model is 31.1% and 52.7% higher than GKF-RVM model and GKF-SVM model in the aspect of MAPE.
Moreover, it is also superior to the other two models in the aspect of EC.
American Psychological Association (APA)
Bing, Qichun& Gong, Bowen& Yang, Zhao-Sheng& Shang, Qiang& Zhou, Xiyang. 2015. Short-Term Traffic Flow Local Prediction Based on Combined Kernel Function Relevance Vector Machine Model. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073040
Modern Language Association (MLA)
Bing, Qichun…[et al.]. Short-Term Traffic Flow Local Prediction Based on Combined Kernel Function Relevance Vector Machine Model. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1073040
American Medical Association (AMA)
Bing, Qichun& Gong, Bowen& Yang, Zhao-Sheng& Shang, Qiang& Zhou, Xiyang. Short-Term Traffic Flow Local Prediction Based on Combined Kernel Function Relevance Vector Machine Model. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073040
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073040