交通信息与安全2011，Vol.29Issue(4)：84-86,98,4.DOI:10.3963/j.ISSN1674-4861.2011.04.019
基于投影寻踪回归模型的短时交通量预测研究
The Short-term Traffic Flow Forecast Based on Projection Pursuit Regression
摘要
Abstract
Accurately and efficiently predicting the short-term traffic flow is the premise and key of traffic management and control. Projection pursuit method can find out the structure or characteristics from the data themselves which do not meet the normal distribution or have not prior information, and can figure out the nonlinear structural problems in the linear projection. Therefore, the theory of projection pursuit regression algorithm is applied to forecast short-term traffic flow. The orthogonal Hermite polynomial is used to construct the ridge function, and C++ language is used to design the corresponding algorithm model, thereby the rolling short-term traffic volume forecast is implemented. Finally, the observed data of some rapid road are used to predict. The experimental results verify that the method is feasible, reliable, and value in practice.关键词
投影寻踪回归/模型/短时交通量/预测Key words
projection pursuit regression/model/short-term traffic flow/forecast分类
交通工程引用本文复制引用
李素兰..基于投影寻踪回归模型的短时交通量预测研究[J].交通信息与安全,2011,29(4):84-86,98,4.
