Multimodal modeling method for vehicle axle load data of bridge weight-in-motion system

A multimodal modeling method for vehicle axle load data of a bridge weight-in-motion system comprises the following steps of (A) processing WIM original data; (B) performing statistical analysis on the WIM data, and obtaining basic statistical characteristics of the data; (C) performing limited distribution model multimodal modeling; (D) using a genetic algorithm to calculate correlation coefficient parameters in probability density functions; and (E) determining an optimal fitting model and parameters. 桥梁动态称重系统车辆轴重数据的多模态建模方法，实施流程如下：A.处理WIM原始数据；B.对WIM数据进行统计分析，了解数据的基本统计特性；C.有限分布模型多模态建模；D.运用遗传算法计算概率密度函数中的相关系数参数；E.确定最优的拟合模型及参数。