| 基于小波神经网络的短时客流量预测研究 |
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| 引用本文： | 任崇岭.基于小波神经网络的短时客流量预测研究[J].科学技术与工程,2011,11(21):5099-5103,5110. |
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| 作者姓名： | 任崇岭 |
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| 作者单位： | 北京交通大学轨道交通控制与安全国家重点实验室,北京,100044 |
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| 基金项目： | 国家自然科学基金(70871007)、北交大国重项目(RCS2008ZT001、 RCS2008ZZ001及RCS2010ZZ001)等资助。 |
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| 摘 要： | 提出了基于小波神经网络的短时客流预测方法。对具有动态性,受多种因素影响的城轨的客流量进行短时的预测。通过建立小波神经网络对于城轨进行每隔15 min客流量预测。示例结果表明,所建立的小波神经网络的预测模型比其他的典型的预测模型预测精度高,误差小。
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| 关 键 词： | 短时客流量 小波变换 小波神经网络 短时预测 |
| 收稿时间： | 2011/4/19 0:00:00 |
| 修稿时间： | 2011/4/19 0:00:00 |
Research for Short-term Passenger Flow Forecasting Based on Wavelet Neural Network |
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| renchongling.Research for Short-term Passenger Flow Forecasting Based on Wavelet Neural Network[J].Science Technology and Engineering,2011,11(21):5099-5103,5110. |
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| Authors: | renchongling |
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| Institution: | REN Chong-ling,CAO Cheng-xuan,LI Jing,SHI Wen-wen (State Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University,Beijing 100044,P.R.China) |
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| Abstract: | The method based on wavelet neural network for short-term passenger flow forecasting, for a dynamic, affected by many factors of the urban rail passenger forecasting of short-term .Through the wavelet neural network for urban rail passenger flow forecasting every 15 minutes, the demonstration results show that the forecasting model of the wavelet neural network can evidently decrease prediction error and improve forecasting veracity compared with other typical neural network. |
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| Keywords: | Short-term passenger flow Continuous Wavelet Transform Wavelet neural network Short-term forecasting |
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