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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shen Dong Liguang Sun Tanghsien Chang Huapu Lu |
| Copyright Year | 2011 |
| Description | Author affiliation: Research Institute of Civil Aviation Safety, Civil Aviation University of China, Tianjin, China (Shen Dong) || Department of Civil Engineering, Tsinghua University, Beijing, China (Liguang Sun) || Department of Civil Engineering, National, Taiwan University, Taipei, Taiwan (Tanghsien Chang) || Department of Civil Engineering, Tsinghua, University, Beijing, China (Huapu Lu) |
| Abstract | A short-term traffic flow forecasting model is studied for Beijing Traffic Forecast System. From a practical view, a combined forecast model is considered, including Discrete Fourier Transform model, Autoregressive model and Neighborhood Regression model. In order to update weight real-timely, the Bayesian approach is utilized to adjust weights of each sub-model. A large amount of data test is carried out among all sub-models and combined model. It shows advantages of combined model. |
| Starting Page | 638 |
| Ending Page | 643 |
| File Size | 222851 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457721984 |
| ISSN | 21530009 |
| e-ISBN | 9781457721977 |
| DOI | 10.1109/ITSC.2011.6083041 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intelligent transportation systems USA Councils Conferences |
| Content Type | Text |
| Resource Type | Article |
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