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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xu Mei Wu Meimei |
| Copyright Year | 2010 |
| Abstract | The wavelet multi-resolution analysis is combined with time series traffic flow models. The characteristic of traffic flow is decomposed by wavelet multi-resolution analysis. According to the long relativity of smooth component and the short relativity of detail component, corresponding models are set up. The prediction of traffic flow series is implemented by synthesizing all the components. Experiments results indicate that the mixed model can make accurate prediction of traffic flow and the prediction results are better than using FARIMA model. |
| Starting Page | 4989 |
| Ending Page | 4992 |
| File Size | 320676 |
| Page Count | 4 |
| File Format | |
| e-ISBN | 9781424466474 |
| DOI | 10.1109/ICEE.2010.1252 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-07 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computers Wavelet Analytical models Multi-resolution analysis Traffic flow Computational modeling Adaptation model Prediction Predictive models Model Discrete wavelet transforms |
| Content Type | Text |
| Resource Type | Article |
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