| 基于混沌理论的高速公路交通流预测研究 |
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| 引用本文： | 陈敏,刘文华.基于混沌理论的高速公路交通流预测研究[J].科学技术与工程,2009,9(2). |
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| 作者姓名： | 陈敏 刘文华 |
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| 作者单位： | 湖南工学院计算机科学系,衡阳,421002 |
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| 摘 要： | 对衡枣高速公路短时交通流进行了混沌识别,结果表明其具备混沌特性,利用重构相空间的嵌入维数确定神经网络的结构,建立了基于混沌理论的高速公路交通流神经网络模型,实际数据验证了该方法对短时交通流预测的有效性.
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| 关 键 词： | 混沌时间序列 相空间重构 交通流 神经网络 |
Forecast Research of Traffic Flow for Freeway Based on Chaos Theory |
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| CHEN Min,LIU Wen-hua.Forecast Research of Traffic Flow for Freeway Based on Chaos Theory[J].Science Technology and Engineering,2009,9(2). |
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| Authors: | CHEN Min LIU Wen-hua |
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| Institution: | Department of Computer Science and Technlology;Hunan Insititute of Technology;Hengyang 421002;P.R.China |
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| Abstract: | Chaos character is found sin short-term traffic flow of Heng-Zao Freeway.By taking advantage of structures of neural network being determined by embedding dimension of phase space reconstruct,neural network model of traffic flow for freeway based on chaos theory is put forward.Practical data show that the method is able to do short-term traffic flow prediction effectively. |
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| Keywords: | chaos time series phase space reconstruction traffic flow neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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