| ARIMA模型结合小波去噪的贵阳城市交通流预测 |
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| 引用本文： | 倪利华,陈笑蓉.ARIMA模型结合小波去噪的贵阳城市交通流预测[J].贵州大学学报(自然科学版),2011,28(5):87-91,103. |
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| 作者姓名： | 倪利华 陈笑蓉 |
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| 作者单位： | 贵州大学计算机科学与信息学院,贵州贵阳,550025 |
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| 基金项目： | 贵州省2009年省级信息化专项资金项目(编号:0958) |
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| 摘 要： | 由于交通流量具有非线性和强干扰性的特征,在不同的时频域空间具有不同的特性；本文首先应用小波分析的方法,将含有综合信息的一组原始交通流信号分解为多组特征不同的时间序列信号,再利用ARIMA模型良好的线性拟合能力,将经过小波分析的时间信号通过ARIMA模型进行处理.利用Matlab和SPSS,对实测交通流数据进行了验证分析...
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| 关 键 词： | 小波分析 ARIMA 交通流 交通流预测 |
A Hybrid ARIMA and Wavelet Denoising Model for Traffic Flow Prediction of Guiyang City |
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| NI Li-hua,CHEN Xiao-rong.A Hybrid ARIMA and Wavelet Denoising Model for Traffic Flow Prediction of Guiyang City[J].Journal of Guizhou University(Natural Science),2011,28(5):87-91,103. |
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| Authors: | NI Li-hua CHEN Xiao-rong |
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| Institution: | NI Li-hua,CHEN Xiao-rong(College of Computer Science and Information,Guizhou University,Guiyang 550025,China) |
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| Abstract: | As the traffic flow has the features of nonlinear and strong interference,it has different characteristics in different time-frequency spaces.Firstly,the wavelet analysis method was used to decomposes a group of original traffic flow signals containing summarized information into series of time sequence signals that have different characteristics,then good linear fitting ability of the ARIMA model was utilized to process the wavelet analysis time signal through the ARIMA model.Using matlab and SPSS,the meas... |
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| Keywords: | Wavelet analysis ARIMA traffic flow traffic flow forecasting |
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