| Autor: |
Gui Yan Jiang, Cui Liu Kong |
| Rok vydání: |
2013 |
| Předmět: |
|
| Zdroj: |
Advanced Materials Research. :2946-2950 |
| ISSN: |
1662-8985 |
| DOI: |
10.4028/www.scientific.net/amr.671-674.2946 |
| Popis: |
The technologies of traffic parameters prediction provide future traffic information so that management measures for traffic congestion can be made timely and accurately based on the retrieved information. According to the shortcomings of traditional methods for predicting traffic parameters, a rolling time series method is proposed through improving the traditional time series methods. To test the performance of our proposed approach, the rolling time series method is compared with the traditional time series methods using measured traffic flow based on a part road network of a large urban area in China. The results show that the prediction effects by the rolling time series method developed in this study are better than traditional approaches. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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