摘要
为研究高速公路交织区入口匝道车辆汇入主线的换道行为,基于方差异质性随机参数模型构建了车辆汇入换道模型,先从NGSIM数据集中提取7个在统计上显著且对换道行为有影响的解释变量,然后将其引入方差异质性随机参数模型探索潜在异质性,计算各变量平均边际效应量化对换道行为的影响,最后提出了“个体样本精度”指标对模型进行比较。研究结果表明:汇入车辆与目标车道领车的车头间距、目标车道领车宽度、辅助车道领车速度对换道行为产生了显著的影响,且汇入车辆在辅助车道上的纵向位置显著影响汇入车辆与目标车道领车的车头间距,方差异质性随机参数模型比未考虑方差异质性的随机参数模型和二元Logit模型具有更高的拟合优度和模型精度,能够更好地解释车辆汇入行为中的潜在异质性。本文的研究成果可应用于自动驾驶辅助系统和交通流仿真软件中,对阐明车道变换行为的机理有一定的参考价值。
In order to study the merging behavior of vehicles in the interweaving area of a freeway,a random parameter model with heterogeneity in variances was used to build a vehicle lane-changing model.Seven explanatory variables that had a significant effect on lane-changing behavior statistically,extracted from NGSIM dataset,was introduced to random parameter model with heterogeneity in variances.The potential heterogeneity was explored by the model.The average margin effects were calculated to quantify the effects of explanatory variables on lane-changing behavior,and individual sample accuracy was established to compare the model accuracy.The results of the study indicate that the space headway between the merging vehicle and the putative leading vehicle,the width of the putative leading vehicle and the speed of the leading vehicle in the auxiliary lane have significant effects on lane-changing behavior,and the longitudinal position of the merging vehicle affects significantly the space headway between the merging vehicle and the putative leading vehicle.Compared with random parameter model that don't consider the variance heterogeneity and binary logit model,random parameter model with heterogeneity in variances has the highest goodness of fit and model accuracy,and can better explain the unobserved heterogeneity during the lane-changing.The results of this paper can be applied to the autonomous driving assistance system and traffic flow simulation software and can shed light on the mechanism of lane-changing behavior.
作者
邬岚
赵乐
李根
WU Lan;ZHAO Le;LI Gen(College of Automobile and Traffic Engineering,Nanjing Forestry University,Nanjing 210037,China)
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2024年第4期883-889,共7页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(51408314)
江苏省高等学校自然科学基金项目(21KJB580014)
南京林业大学青年科技创新基金项目(CX2019021)
浙江省交通运输科技计划项目(202325)。
关键词
交通运输安全工程
方差异质性随机参数模型
汇合行为
高速公路
交织区
transportation safety engineering
random parameter model with heterogeneity in variance
merging behavior
freeway
interweaving area
