| K近邻短期交通流预测 |
| |
| 引用本文： | 方琴,李永前.K近邻短期交通流预测[J].重庆交通大学学报(自然科学版),2012,31(4):828-831. |
| |
| 作者姓名： | 方琴 李永前 |
| |
| 作者单位： | 1. 贵州大学土木建筑工程学院,贵州贵阳,550003
2. 贵阳市公安交通管理局,贵州贵阳,550081 |
| |
| 基金项目： | 贵阳市科技局项目(2009001) |
| |
| 摘 要： | 从分析短时交通流特性入手,利用非参数回归中K近邻的方法,对道路交通流量进行短期预测;采用贵阳市道路交通流量的实际数据进行验证。结果表明:K近邻非参数回归预测模型能较为准确的进行道路短期交通流预测,该方法可用于短期交通流预测。
|
| 关 键 词： | 短期交通流预测 非参数回归 K近邻 |
On K-nearest Neighbor Short-Term Traffic Flow Prediction |
| |
| Fang Qin
,
Li Yongqian.On K-nearest Neighbor Short-Term Traffic Flow Prediction[J].Journal of Chongqing Jiaotong University,2012,31(4):828-831. |
| |
| Authors: | Fang Qin Li Yongqian |
| |
| Institution: | 1.Civil Engineering Department,Guizhou Universitym,Guiyang 550003,Guizhou,China; 2.Guiyang Traffic Administration Bureau,Guiyang 550081,Guizhou,China) |
| |
| Abstract: | Traffic flow prediction was analyzed from characteristics;the method of K-nearest neighbor was applied in the non-parametric regression for short-term forecast of road traffic flow;the road traffic-related data of Guiyang City was employed to validate the model.It proves that the K-nearest neighbor nonparametric regression model can predict the short-term traffic flow more accurately and it also reveals that the feasibility of the methods is used in short-term traffic flow prediction. |
| |
| Keywords: | short-term traffic flow prediction non-parametric regression K-nearest neighborhood |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
