To investigate the truck load probabilistic characteristics of Chinese first-class highway, the 289-day WIM data of G104 highway was introduced. The multi-normal distribution and multi-exponential distribution were used to describe the load parameter probabilistic distributions, including the gross truck weight, axle weight, axle spacing and truck speed etc. The types and parameters of the distributions were then obtained. The results show that the multi-normal distribution can accurately describe the distribution of all the load parameters except truck gap. The triple exponential distribution is one of the best choices for truck gap distributions. The trucks of G104 highway can be divided into 9 different types, in which the 2-axle truck is predominant. The percentage of semi-trailer is pretty low and type V8 is predominant.%为了解决我国一级公路卡车荷载概率分布特性的问题,以G104国道289 d的动态称重数据为基础,采用多峰正态分布模型及多重指数分布模型,分析包括车质量、轴质量、轴距车速等参数在内的卡车荷载概率特性,得到各车辆荷载参数的概率分布类型及分布参数,并确定了G104国道代表性卡车车型.结果发现:采用多峰正态分布可以准确描述除卡车车头时距之外的其他车辆荷载参数分布,三重指数分布可准确描述卡车车头时距概率分布.G104国道卡车主要包括9种典型卡车车型,其中以2轴卡车为主,半挂卡车所占比例相对较小,半挂卡车显著车型为6轴V8卡车,且该车型平均装载质量、最大车质量均明显高于其他车型.
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