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Traffic Forecast Based on Wavelet Transform and Double Exponential Smoothing
| 题名： | Traffic Forecast Based on Wavelet Transform and Double Exponential Smoothing |
| 正文语种： | 中文 |
| 作者： | Cao Kai Zhang RenYong Y.Hamamatsu |
| 作者单位： | Traffic & Vehicle Engineering School,Shandong University of Technology,Zibo 255049, hina ep.of Systems Engineering,Ibaraki University,Ibaraki 316-8511,Japan |
| 关键词： | Wavelet transform exponential smoothing Levenberg-Marquardt algorithm forecast |
| 摘要： | This paper proposes a novel hybrid strategy for modeling a discrete wavelet and exponential smoothing to forecast short-term traffic flow.The heursure wavelet thresholding method is used to separate the traffic series into deterministic and fluctuation(noisy)components.The problems associated with wavelet denoising such as selection of appropriate wavelet function,suitable level of decomposition and threshold selection are handled to a certain extent by analyzing the traffic data.It is seen that the trend in both the components can be taken care of effectively using double exponential smoothing models.The results demonstrate that the proposed wavelet model is advantageous in reducing the complex structure of traffic series and thereby enhancing the accuracy of short-term forecasts. |
| 会议日期： | 20131012 |
| 会议举办地点： | 西安 |
| 会议名称： | 第十届全国交通运输领域青年学术会议 |
| 出版日期： | 2013-10-12 |
| 母体文献： | 第十届全国交通运输领域青年学术会议 论文集 |
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