A New Synergistic Forecasting Method for Short-Term Traffic Flow with Event-Triggered Strong Fluctuation
Joint Authors
Darong, Huang
Deng, Zhenping
Mi, Bo
Source
Journal of Control Science and Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-19
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Directing against the shortcoming of low accuracy in short-term traffic flow prediction caused by strong traffic flow fluctuation, a novel method for short-term traffic forecasting based on the combination of improved grey Verhulst prediction algorithm and first-order difference exponential smoothing is proposed.
Firstly, we constructed an improved grey Verhulst prediction model by introducing the Markov chain to its traditional version.
Then, based on an introduced dynamic weighting factor, the improved grey Verhulst prediction method, and the first-order difference exponential smoothing technique, the new method for short-term traffic forecasting is completed in an efficient way.
Finally, experiment and analysis are carried out in the light of actual data gathered from strong fluctuation environment to verify the effectiveness and rationality of our proposed scheme.
American Psychological Association (APA)
Darong, Huang& Deng, Zhenping& Mi, Bo. 2018. A New Synergistic Forecasting Method for Short-Term Traffic Flow with Event-Triggered Strong Fluctuation. Journal of Control Science and Engineering،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1182998
Modern Language Association (MLA)
Darong, Huang…[et al.]. A New Synergistic Forecasting Method for Short-Term Traffic Flow with Event-Triggered Strong Fluctuation. Journal of Control Science and Engineering No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1182998
American Medical Association (AMA)
Darong, Huang& Deng, Zhenping& Mi, Bo. A New Synergistic Forecasting Method for Short-Term Traffic Flow with Event-Triggered Strong Fluctuation. Journal of Control Science and Engineering. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1182998
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1182998