无路侧干扰条件下公路基本路段通行能力计算方法

Calculation method for the traffic capacity of highway basic sections without roadside interference

为计算公路基本路段通行能力,采集济南、临沂、日照、德州等地的公路信号交叉口直行车道的单车道交通流数据,近似作为无路侧干扰条件下公路基本路段交通流数据,选取车道数、车道宽度、路肩宽度、中央隔离带宽度、交通组成等作为公路基本路段通行能力的影响因素,采用皮尔逊系数分析法筛选影响通行能力的关键因素,通过回归分析法建立单因素与单车道通行能力的函数关系,计算关键影响因素的单车道通行能力修正系数。采用双因素方差分析法分析不同影响因素的交互作用关系,构建含多影响因素和影响因素交互项的公路基本路段通行能力多元回归模型。结果表明:车道数、车道宽度及小型车占比与单车道通行能力的相关性显著,为关键影响因素,按重要度从大到小依次排序为小型车占比、车道数、车道宽度;3个关键影响因素非相互独立,存在一定的交互作用,车道数与小型车占比、车道宽度与小型车占比间均存在交互影响;构建的多元回归模型的计算准确度为96.30%,能较好地计算公路基本路段的通行能力。

In order to calculate the traffic capacity of highway basic sections,the single-lane traffic flow data of straight lanes at highway signal intersections in Jinan,Linyi,Rizhao,Dezhou and other regions are collected,as the traffic flow data of the highway basic sections without roadside interference,and the number of lanes,lane width,shoulder width,central separation zone width,and traffic composition are selected as the factors affecting the traffic capacity.The Pearson coefficient analysis method is used to screen the key factors affecting the traffic capacity,and the functional relationship between the single factor and the single-lane traffic capacity is established by regression analysis,and the correction coefficient of the single-lane traffic capacity under different influencing factors is calculated.Two-way analysis of variance is used to analyze the interaction relationship of different influencing factors,and a multiple regression model of traffic capacity of basic highway sections with multiple influencing factors and influencing factor interaction terms is constructed.The results show that the number of lanes,lane width and traffic composition have a significant correlation with the single-lane traffic capacity,which are the key influencing factors,and are ranked as traffic composition,number of lanes and lane width in order of importance from large to small.The three key influencing factors are not independent of each other,and there is a certain interaction,and there are interactions between the number of lanes and traffic composition,and the width of lanes and traffic composition.The calculation accuracy of the constructed multiple regression model is 96.30%,which can calculate the traffic capacity of the basic section of the highway well.