| 基于核函数的混沌交通流预测 |
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| 引用本文： | 伍自力,刘智勇.基于核函数的混沌交通流预测[J].五邑大学学报(自然科学版),2008,22(3):17-21. |
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| 作者姓名： | 伍自力 刘智勇 |
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| 作者单位： | 五邑大学,信息学院,广东,江门,529020 |
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| 基金项目： | 广东省自然科学基金，广东省高等学校自然科学基金 |
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| 摘 要： | 采用一种基于核函数的局域线性预测算法进行城市短时交通流预测．在对混沌时间序列进行重构的基础上，利用径向基核函数将相空间中邻近点投影到更高维的核空间，然后在核空间中用线性自适应算法对时间序列进行预测，现场数据的试算结果表明，该方法能有效提高短时交通流的预测精度．
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| 关 键 词： | 短时交通流 相空间重构 核函数 |
Chaotic Traffic Flow Forecasting Based on Kernel Function |
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| WU Zi-li,LIU Zhi-yong.Chaotic Traffic Flow Forecasting Based on Kernel Function[J].Journal of Wuyi University(Natural Science Edition),2008,22(3):17-21. |
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| Authors: | WU Zi-li LIU Zhi-yong |
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| Institution: | (Information School, Wuyi University, Jiangmen 529020, China) |
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| Abstract: | This paper introduces a local linear prediction algorithm based on kernel function to predict urban traffic flow. Based on the reconstruction of chaotic time series, the algorithm uses nuclear radial basis function to project the points in the phase space into higher dimensional kernel space and forecast the chaotic time series in the higher dimension kernel space by means of an adaptive predictor. Field data spreadsheets results show that this method can improve prediction accuracy effectively. |
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| Keywords: | short-term traffic flow phrase space reconstruction kernel function |
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