| 基于小波神经网络的路段短时交通流预测 |
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| 引用本文： | 郑长江,陈田星. 基于小波神经网络的路段短时交通流预测[J]. 大连交通大学学报, 2012, 33(5): 50-53,71. DOI: 10.3969/j.issn.1673-9590.2012.05.012 |
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| 作者姓名： | 郑长江 陈田星 |
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| 作者单位： | 1.河海大学土木与交通学院,江苏南京,210098;2.河海大学土木与交通学院,江苏南京,210098 |
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| 基金项目： | 江苏省自然科学基金资助项目(BK2011746) |
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| 摘 要： | 应用BP神经网络来对路段短时交通流进行预测,预测精度和收敛速度都不是很理想,为了克服BP神经网络自身存在的非线性逼近缺陷,依据小波的时频域特征,将小波变换和BP神经网络结合起来,提出一种基于小波神经网络的短时交通流预测方法,给出了具体的网络学习算法,并结合实地调查数据进行了对比测试,分析结果证明了小波神经网络模型对短时交通流预测的有效性.
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| 关 键 词： | 智能交通 小波神经网络 短时交通流预测 BP神经网络 |
Short-Term Traffic Flow Forecasting of Road Based on Wavelet Neural Network |
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| ZHENG Chang-jiang,CHEN Tian-xing. Short-Term Traffic Flow Forecasting of Road Based on Wavelet Neural Network[J]. Journal of Dalian Jiaotong University, 2012, 33(5): 50-53,71. DOI: 10.3969/j.issn.1673-9590.2012.05.012 |
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| Authors: | ZHENG Chang-jiang CHEN Tian-xing |
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| Affiliation: | (College of Civil Engineering and Transportation,Hehai University,Nanjing 210098,China) |
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| Abstract: | The BP neural network is applied to forecast road short-term traffic flow.In order to overcome the defects of nonlinear approximation of the BP neural network,the wavelet transform and the BP neural network are combined,and a forecasting model of short-term traffic flow is proposed based on wavelet neural network by detailed learning algorithm.Comparative test based on the data obtained by fieldworked and analysis show that the wavelet neural network model is valid for short-term traffic flow forecasting. |
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| Keywords: | intelligent transportation wavelet neural network short-term traffic flow forecasting BP neural network |
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