摘要
为构建雾天高速公路车辆跟驰安全系统,针对高速公路车流特性,采用理论分析和仿真分析相结合方式,探讨了雾天环境对跟驰模型影响,并建立了行车安全标准。理论分析中,从雾天等级判定出发,通过雾情监测系统采集得到高速公路不同路段的气象信息,运用模糊聚类分析法对雾天等级进行划分,并对处于不同雾天等级的路段分别进行研究;通过重点考虑能见度对车速影响和路面湿度对摩擦系数影响,利用非线性拟合方法得出具体关系式,从而建立起雾天高速公路不同路段的跟驰安全距离模型。基于此,根据高速公路车辆运行特性,对模型适应性进行分析,并通过数据融合技术得到不同路段行驶速度和安全距离参考值,为驾驶员行驶安全提供理论依据。仿真分析中,分别利用MATLAB对气象信息进行聚类分析和Origin对非线性拟合结果进行误差分析,最后采用自适应加权平均算法和专家法得到行驶安全值。研究结果表明:雾天环境对于能见度和湿度影响相对较大,理想状态下的跟驰模型将不再适用,需及时更新车辆跟驰距离和限速值,可通过对跟驰模型进行修正来得到适应于不同雾天等级下的行车安全理论距离值。
In order to construct a car-following safety system aimed at the features of expressway traffic flow,the influence of the foggy environment on the car-following model and the establishment of the road safety standard were discussed based on both theoretical and simulation analysis.For theoretical analysis,it started from the fog level judgment,collected the meteorological information from different sections of the expressway by the fog monitoring system,and the fog levels were divided by fuzzy clustering analysis.And then it studied the sections of different fog levels separately.By mainly considering the influence of the visibility on speed and that of the road surface humidity on the friction coefficient,it obtained the relationship,and by the nonlinear fitting method,established the safety distance model of different foggy sections of the expressway.Based on this,it analyzed and obtained the model s adaptability according to the running features of the vehicle,and the reference value of driving speed and safety distance on different road sections through the data fusion technology,which provides the theoretical basis for the driver's driving safety;for simulation analysis,it clustered and analyzed the meteorological information by using MATLAB and analyzed the error of the nonlinear fitting result by using Origin.The results indicate that the influence of foggy environment on visibility and humidity is relatively large,and the car-following model under an ideal state will no longer apply,which means the necessity to timely update the vehicle follow-up distance and speed limit and obtain the driving safety theory distance value suitable for different fog levels by modifying the model.
作者
刘兆惠
虞春滨
王超
李倩
LIU Zhaohui;YU Chunbin;WANG Chao;LI Qian(College of Transportation,Shandong University of Science and Technology,Qingdao 266590,Shandong,P.R.China;College of Civil and Transportation Engineering,Hohai University,Nanjing 210098,Jiangsu,P.R.China)
出处
《重庆交通大学学报（自然科学版）》
CAS
CSCD
北大核心
2019年第9期88-94,共7页
Journal of Chongqing Jiaotong University(Natural Science)
基金
国家自然科学基金项目(91120306/F03)
关键词
交通工程
交通安全
跟驰模型
非线性拟合
雾天
安全距离
traffic engineering
traffic safety
car-following
nonlinear fitting
foggy environment
safety distance
