基于路面摩擦因数的冬季典型路面状态识别模型  

Typical Road Status Identification Model Based on Pavement Friction Coefficient in Winter

作　　者：汤筠筠[1,2] 郭忠印[1] 李长城[2] 辛欣[2] 韩晖[2] 

机构地区：[1]同济大学道路与交通工程教育部重点实验室,上海200092 [2]交通运输部公路科学研究院,北京100088

出　　处：《中国公路学报》2014年第11期25-30,共6页China Journal of Highway and Transport

基　　金："十二五"国家科技支撑计划项目(2014BAG01B01)

摘　　要：为了能够有效利用现有公路养护和管理车辆,提出了基于路面摩擦因数的冬季典型路面状态监测方法。通过使用横向力摩擦因数测试仪采集连续路面摩擦因数,挖掘冬季路面摩擦因数与路面状态之间的深度对应关系,确定模型的主要计算参数;基于四分位动态差分法和线性回归法构建了路面摩擦因数与冬季典型路面状态的关系模型,并利用情形分析关联表法对该模型识别路面状态的准确性进行了验证。研究结果表明:所提出的基于路面摩擦因数的冬季典型路面状态识别的整体准确性能够达到75%以上,识别精度满足业务需求,可以实现对全路线乃至整个路网的冬季典型路面状态连续、快速、精确的监测和识别。In order to effectively utilize the existing highway maintenance and management vehicles,a method for monitoring typical winter road condition was presented based on pavement friction coefficient.Through using a side friction coefficient tester to collect continuous pavement friction coefficient,exploring the relation between pavement friction coefficient and road status,the main model parameters were determined.Accordingly the relation model was built based on quartiles dynamic difference method and linear regression method.And the model＇s accuracy was proved with association table method.The results show that the overall accuracy of the road status identification can be more than 75%,which meets business needs,and the model can continuously,quickly and accurately monitor and identify typical road surface conditions for entire route or network in winter.

关 键 词：道路工程 摩擦因数 路面状态识别模型 线性回归 

分 类 号：U421.4[交通运输工程—道路与铁道工程]