| Kalman滤波理论在短时交通预测上的应用 |
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| 引用本文： | 戴施华,周欣荣.Kalman滤波理论在短时交通预测上的应用[J].哈尔滨商业大学学报(自然科学版),2005,21(6):728-731. |
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| 作者姓名： | 戴施华 周欣荣 |
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| 作者单位： | 东南大学,自动控制系,江苏,南京,210096;东南大学,交通学院,江苏,南京,210096;东南大学,交通学院,江苏,南京,210096 |
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| 摘 要： | 介绍了基于Kalman滤波理论的短时段交通量预测模型,并利用京沪高公路和南京禄口机场高速公路所采集的数据进行了仿真预测.预测结果表明Kalman滤波预测方法对各种状态交通流有较好的适应性,具有较高的预测精度.
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| 关 键 词： | Kalman滤波 短时段交通流 预测模型 方差估计 |
| 文章编号： | 1672-0946(2005)06-0728-03 |
| 修稿时间： | 2005年6月6日 |
Application of Kalman filtering theory on prediction of short-term traffic volume |
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| DAI Shi-hua,ZHOU Xin-rong.Application of Kalman filtering theory on prediction of short-term traffic volume[J].Journal of Harbin University of Commerce :Natural Sciences Edition,2005,21(6):728-731. |
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| Authors: | DAI Shi-hua ZHOU Xin-rong |
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| Institution: | DAI Shi-hua~ |
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| Abstract: | This paper introduces the short-term prediction model of the traffic volume through Kalman Filtering Theory,and makes use of those data,which were sampled from the Beijing-Shanghai freeway and the Nanjing Lukou Airport freeway to emulate and to predict.The results from prediction showed that the method based on Kalman Filtering Theory has better adaptability to kinds of traffic volume,and somewhat accuracy. |
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| Keywords: | Kalman filtering theory short-term traffic volume prediction model variance estimation |
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