高速公路路面状态安全评价方法研究  

Safety Evaluation Method of Freeway Pavement Condition

作　　者：胡思涛[1,2] 项乔君[1] 

机构地区：[1]东南大学交通学院,南京210096 [2]淮阴工学院,江苏淮安223003

出　　处：《交通运输系统工程与信息》2013年第2期130-135,共6页Journal of Transportation Systems Engineering and Information Technology

基　　金：'十一五'国家科技支撑计划项目(2009BAG13A03);高等学校博士学科点专项科研基金(20100092110037)

摘　　要：为定量研究高速公路路面状态与交通安全的关系,分别选取路面状态指数(PCI)和路面抗滑性指标(SRI)作为路面状态的表征指标、速度标准差系数(Cv)作为交通流表征指标.在考虑交通量影响的情况下,仿真实际路段沿线车速标准差系数的变化情况,结合已有的路面检测数据,建立高速公路路面状态与交通安全的关系模型.高速公路路面状态的安全等级根据Cv累计频率曲线划分为三级,确定了各安全等级的Cv阈值,并以沪宁高速公路为例进行分析.结果表明,从交通流运行特征的角度分析路面状态与交通安全的关系是可行的,PCI和SRI与Cv的关系模型可准确判断高速公路路面状态的安全等级.This paper quantitatively measures the relationships between freeway pavement condition and traffic safety. The pavement condition index （PCI） and pavement skid resistant index （SR/） are selected as the characterized indicators of road surface condition, while the speed standard deviation coefficient （ Cv ） is taken as the characterized indicators of traffic flow to reflect the state of traffic safety. First, considering the impact of traffic, it simulates change of the coefficient of variations speed standard deviations of traffic flow along the actual sections. Meanwhile, combined with the existing road testing data, it develops the model related to highway pavement condition and traffic safety. Then, it uses the cumulative frequency carve to divide highway traffic safety grade. Finally, the Shanghai-Nanjing freeway is taken as the case study. The results show that it is feasible to analyze the relationships between pavement condition and traffic safety based on traffic flow characteristics. The models on PCI, SRI and C, can accurately determine the safety grade of highway pavement condition.

关 键 词：公路运输 路面状态 交通安全 路面状态指数 抗滑性指标 速度标准差系数 

分 类 号：U491[交通运输工程—交通运输规划与管理]