| 改进非参数回归在交通流量预测中的应用 |
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| 引用本文： | 范鲁明,贺国光. 改进非参数回归在交通流量预测中的应用[J]. 重庆交通大学学报(自然科学版), 2008, 27(1): 96-99 |
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| 作者姓名： | 范鲁明 贺国光 |
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| 作者单位： | 天津大学管理学院系统工程研究所,天津,300072;天津大学管理学院系统工程研究所,天津,300072 |
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| 摘 要： | 实时、准确的短时交通流量预测是实现交通控制与诱导的关键。结合模式识别的思想,提出基于模式识别的非参数回归算法,并将之应用于短时交通流量预测,最后用仿真试验检验了方法的有效性,仿真试验结果表明,该方法具有较高的预测精度。
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| 关 键 词： | 短时交通流量预测 非参数回归 模式识别 |
| 文章编号： | 1674-0696(2008)01-0096-04 |
| 修稿时间： | 2007-01-28 |
Application Improvement of Nonparametric Regression to Traffic Flow Forecast |
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| FAN Lu-ming,HE Guo-guang. Application Improvement of Nonparametric Regression to Traffic Flow Forecast[J]. Journal of Chongqing Jiaotong University, 2008, 27(1): 96-99 |
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| Authors: | FAN Lu-ming HE Guo-guang |
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| Abstract: | Real-time and accurate short-term traffic flow forecast is critical to the traffic control and guidance.The nonparametric regression based on pattern recognition was presented and used for short-term traffic flow forecast.Simulation experiments were conducted to examine the validity of the method.The compute results show that this method has high precision. |
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| Keywords: | short-term traffic flow forecast nonparametric regression pattern recognition |
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