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Research on Short-Term Traffic Flow Prediction Method Based on Similarity Search of Time Series
Joint Authors
Bing, Qichun
Mei, Duo
Lin, Ciyun
Yang, Zhao-Sheng
Yang, Nan
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Short-time traffic flow prediction is necessary for advanced traffic management system (ATMS) and advanced traveler information system (ATIS).
In order to improve the effect of short-term traffic flow prediction, this paper presents a short-term traffic flow multistep prediction method based on similarity search of time series.
Firstly, the landmark model is used to represent time series of traffic flow data.
Then the input data of prediction model are determined through searching similar time series.
Finally, the echo state networks model is used for traffic flow multistep prediction.
The performance of the proposed method is measured with expressway traffic flow data collected from loop detectors in Shanghai, China.
The experimental results demonstrate that the proposed method can achieve better multistep prediction performance than conventional methods.
American Psychological Association (APA)
Yang, Zhao-Sheng& Bing, Qichun& Lin, Ciyun& Yang, Nan& Mei, Duo. 2014. Research on Short-Term Traffic Flow Prediction Method Based on Similarity Search of Time Series. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-452701
Modern Language Association (MLA)
Yang, Zhao-Sheng…[et al.]. Research on Short-Term Traffic Flow Prediction Method Based on Similarity Search of Time Series. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-452701
American Medical Association (AMA)
Yang, Zhao-Sheng& Bing, Qichun& Lin, Ciyun& Yang, Nan& Mei, Duo. Research on Short-Term Traffic Flow Prediction Method Based on Similarity Search of Time Series. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-452701
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-452701