摘要
在合理分析驾驶员通过强制控速设施行为的基础上,制定了相应的车速检测方案,并进行了实地车速检测。在分析车速与车辆到强制控速设施距离的散点图的基础上,建立了分段的多项式回归模型,然后利用最小二乘法回归计算,得出了相应模型的参数估计值,将模型参数代入回归模型即可获得车速预测函数。最后,进行了回归结果分析,分析结果表明分段多项式回归模型是正确有效的。利用该模型可以有效计算在给定公路限速条件下的最优强制控速设施安装间距。
Based on analyzing the driver＇s behavior during passing compulsive speed control devices, the scheme of speed detection was presented and the real speed was detected on the highway. The piecewise polynomial regression model was established based on analyzing the scatter diagram of the speed change with the install distance. And then the data of speed detection were regressed with the least square method to gain the evaluated values of parameters, and the values of parameters were inputted into the regression model to obtain the forecast function. The analysis of the regression result shows that this model is correct and effective. This model can be applied to calculate the optimization of the installation distance of the compulsive speed control device under the given limited speed of highway.
出处
《公路交通科技》
CAS
CSCD
北大核心
2008年第12期172-175,共4页
Journal of Highway and Transportation Research and Development
基金
云南交通科技资助项目(2004538)
关键词
交通工程
安装间距
驾驶员行为
强制控速设施
分段多项式回归模型
traffic engineering
installing distance
drivers＇ behavior
compulsive speed-control device
piecewise polynomial regression model
