重庆理工大学学报（自然科学版）2016，Vol.30Issue(8)：152-155,4.DOI:10.3969/j.issn.1674-8425(z).2016.08.025
基于多元回归模型的公路客运量预测分析
Prediction of Traffic Volume based on Multiple Regression Model
摘要
Abstract
Based on the theory of multivariate linear regression,this paper selected highway passenger traffic volume data of 1993-2012 and analysed the influence of GDP and population to highway passenger traffic volume,and forecasted the highway passenger transportation volume of china in the short-term.The results show that the GDP and population have a positive relationship to the highway passenger volume,and the forecast accuracy of the multiple regression models is very high and is suitable for short-term prediction for highway passenger traffic volume.关键词
公路/客运量/多元回归模型/预测Key words
highway/traffic volume/multiple regression model/prediction分类
经济学引用本文复制引用
鲁亚..基于多元回归模型的公路客运量预测分析[J].重庆理工大学学报（自然科学版）,2016,30(8):152-155,4.基金项目
国家自然科学基金资助项目 （）
