Key Technology of Real-Time Road Navigation Method Based on Intelligent Data Research
Joint Authors
Tang, Haijing
Yang, Xu
Liang, Yu
Huang, Zhongnan
Wang, Taoyi
He, Lin
Du, Yicong
Ding, Gangyi
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-31
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The effect of traffic flow prediction plays an important role in routing selection.
Traditional traffic flow forecasting methods mainly include linear, nonlinear, neural network, and Time Series Analysis method.
However, all of them have some shortcomings.
This paper analyzes the existing algorithms on traffic flow prediction and characteristics of city traffic flow and proposes a road traffic flow prediction method based on transfer probability.
This method first analyzes the transfer probability of upstream of the target road and then makes the prediction of the traffic flow at the next time by using the traffic flow equation.
Newton Interior-Point Method is used to obtain the optimal value of parameters.
Finally, it uses the proposed model to predict the traffic flow at the next time.
By comparing the existing prediction methods, the proposed model has proven to have good performance.
It can fast get the optimal value of parameters faster and has higher prediction accuracy, which can be used to make real-time traffic flow prediction.
American Psychological Association (APA)
Tang, Haijing& Liang, Yu& Huang, Zhongnan& Wang, Taoyi& He, Lin& Du, Yicong…[et al.]. 2016. Key Technology of Real-Time Road Navigation Method Based on Intelligent Data Research. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1099591
Modern Language Association (MLA)
Tang, Haijing…[et al.]. Key Technology of Real-Time Road Navigation Method Based on Intelligent Data Research. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-16.
https://search.emarefa.net/detail/BIM-1099591
American Medical Association (AMA)
Tang, Haijing& Liang, Yu& Huang, Zhongnan& Wang, Taoyi& He, Lin& Du, Yicong…[et al.]. Key Technology of Real-Time Road Navigation Method Based on Intelligent Data Research. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1099591
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099591