回归模型在模拟驾驶训练效果分析中的应用  

Application of Regression Model in the Training Effect Analysis of Vehicle Driving Simulator

作　　者：唐志武[1] 薛青[1] 韩安媛[1] 

机构地区：[1]装甲兵工程学院仿真中心,北京100072

出　　处：《系统仿真学报》2008年第S1期84-87,共4页Journal of System Simulation

基　　金：国家自然科学基金项目(70471089)

摘　　要：利用车辆驾驶模拟器进行训练时,收集训练数据、分析训练效果是提高训练水平的重要手段。根据所获得车辆驾驶模拟器训练得分数据,分别建立了一元线形回归模型和幂函数回归模型来拟合训练得分与训练时间回归方程,比较了两者的优劣,认为幂函数回归方程更符合实际情况。最后,分析了建立回归模型过程中可能存在的问题,并给出了改进意见。It is of great significance to collect the training data and analysis the training effect of vehicle driving simulator. After collecting the vehicle driving training scores,the regression model was established by means of SAS and the two fitted model equations,the simple liner regression equation and the power function regression equation,were created.Then the two equations were analyzed and the conclusion that the power function regression equation was superior to another equation and true to the practical situation was drawn.Finally,the potential problems of the regression model were analyzed in detail. Moreover,some suggestions to enhance the regression model were indicated.

关 键 词：车辆驾驶模拟器 回归模型 数据分析 SAS 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]