摘要
以交通混合程度最高的单幅路为研究对象,在大量实测数据基础上,采用多因素方差分析法检验了本向机动车流量、对向机动车流量、本向非机动车流量、行人横向干扰程度对车流速度产生的影响。由美国联邦公路局BPR函数模型拓展得到混合交通条件下机动车路阻函数的通用形式,基于统计学原理对实测数据进行变量筛选和参数标定,建立了综合考虑机非干扰、对向干扰和横向干扰的实用路阻函数模型。结果表明:在理论分析基础上,由试验数据标定得到的BPR改进模型优于纯粹由数据拟合得到的线性回归模型。
According to field data surveyed on one-track road with the most mixed traffic, it was proved by the method of multi-factor variance analysis that the motor vehicle flow, the opposite motor vehicle flow, the non-motor vehicle flow and the cross walk interference all affected the motor vehicle flow speed significantly. A general link performance function of motor vehicle with mixed traffic was extended from the BPR model, and then the variables were selected and the parameters were calibrated by field data. Thus, considering the interference of motor and non- motor vehicles, opposite directions and cross walks, the practical link performance function model was established. The comparison analysis shows that the improved BPR model which is analyzed theoretically and is calibrated by field data, is better than the linear regression model which is merely fitted by data.
出处
《中国公路学报》
EI
CAS
CSCD
北大核心
2009年第4期92-95,共4页
China Journal of Highway and Transport
基金
国家自然科学基金重点项目(50738001)
国家自然科学基金项目(50608018)
教育部高等学校博士学科点专项科研基金项目(20070286006)