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考虑多因素修正的山区二级公路弯坡组合路段小型车运行速度模型
引用本文:袁华智,阎莹,袁志兵,张红英,陈浩天,王磊.考虑多因素修正的山区二级公路弯坡组合路段小型车运行速度模型[J].中国公路学报,2022,35(1):286-297.
作者姓名:袁华智  阎莹  袁志兵  张红英  陈浩天  王磊
作者单位:1. 兰州理工大学土木工程学院, 甘肃 兰州 730050;2. 长安大学运输工程学院, 陕西 西安 710064;3. 长安大学汽车学院, 陕西 西安 710064
基金项目:国家自然科学基金项目(51978069,52168042,42107206);陕西省重点研发计划项目(2021KWZ-09,2021GY-184);山东省交通科技项目(2019B55-1);中央高校基本科研业务费专项资金项目(300102342202,300102500102);兰州理工大学红柳优秀青年人才支持计划项目
摘    要:为确定山区二级公路弯坡组合路段小型车运行速度规律,使用Metro Count 5600设备对国道G108和G244山区二级公路共128.8 km的71个特征断面车辆速度进行采集.基于实测数据分析了道路平纵线形及前一个断面车辆初始速度对当前断面运行速度的影响,在初步拟定自变量的基础上,分别采用偏相关分析和因子共线性分析对...

关 键 词:交通工程  交通安全  路侧环境修正  运行速度  弯坡组合路段
收稿时间:2020-04-10

Operating Speed Model of Small Car on Combined Horizontal and Vertical Curves of Mountain Secondary Roads Considering Multi-factor Correction
YUAN Hua-zhi,YAN Ying,YUAN Zhi-bing,ZHANG Hong-ying,CHEN Hao-tian,WANG Lei.Operating Speed Model of Small Car on Combined Horizontal and Vertical Curves of Mountain Secondary Roads Considering Multi-factor Correction[J].China Journal of Highway and Transport,2022,35(1):286-297.
Authors:YUAN Hua-zhi  YAN Ying  YUAN Zhi-bing  ZHANG Hong-ying  CHEN Hao-tian  WANG Lei
Affiliation:1. School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, Gansu, China;2. College of Transportation Engineering, Chang'an University, Xi'an 710064, Shaanxi, China;3. School of Automobile, Chang'an University, Xi'an 710064, Shaanxi, China
Abstract:In order to determine the operating speed rules of small car on combined sections of mountainous secondary roads, Metro count 5600 equipment was used to collect vehicle speeds in 71 feature sections of 128.8 km of G108 and G244 mountain roads. Based on the measured data, the influence of the road horizontal and vertical alignment and the initial velocity of the vehicle in the previous section on the current section operating speed is analyzed. Based on the preliminary formulation of independent variables, partial correlation analysis and factor collinearity analysis are used to eliminate the variables that are not significantly correlated with dependent variables and are highly collinearity. Based on the characteristics of highway operating environment in mountainous areas, the basic prediction model was modified by considering the interference of drivers' visual distance, static and dynamic environment on the road side, intersection density, and finally the prediction model was verified by using measured data based on relative error. The results show that the radius of curves, slope of the first half of the curve and the velocity at the entrance of the curve have significant effects on the velocity at the center of the curve. The average radius of the curve (the average of the current curve radius and the radius of the incoming section), the slope in front of the curve exit and the operating speed at the middle point of the curve have significant effects on the operating speed at the curve exit. Midpoint and the curve between measured and predicted at the exit of the average relative error of 5.64% and 7.35% respectively, the model is more effective. The results provide reference for secondary highway safety audit and road design in mountainous areas.
Keywords:traffic engineering  traffic safety  roadside environment correction  operating speed  combined horizontal and vertical curves  
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