载货汽车弯道侧翻路侧预测方法

Roadside prediction method for truck rollover on the curve

载货汽车重心高的特点极易因操作不当引发侧翻,为此,依靠现有路侧测量设备提出一种可快速投入使用的车辆弯道侧翻预测方法。首先,提出基于改进KNN的车辆重心高度回归预测模型实现车辆重心高度路侧动态估计;然后,建立基于横向载荷转移率的车辆侧倾估计模型实现侧倾程度路侧估计;最后,提出在线ARIMA模型在线预测车辆侧倾状态。MATLAB/Simulink与TruckSim联合仿真结果表明:本文提出的侧翻预测方法在弯道全程均能准确预测车辆LTR变化趋势和其极限值,从而为路侧设施在弯道发布针对性预警提供依据。

Truck is easy to rollover due to improper operation because of its high center of gravity(c.g).This paper proposes a vehicle rollover prediction method which could be put into use quickly based on existing roadside measurement equipment.First,a regression prediction model of vehicle c.g height based on improved KNN was proposed to realize the roadside dynamic estimation of vehicle c.g.Then,a roll estimation model based on lateral load transfer rate(LTR)was established to realize the roadside estimation of roll degree.Finally,an online ARIMA model was proposed to predict vehicle roll state online.The results of MATLAB/Simulink and TruckSim co-simulation showed that the proposed rollover prediction method could accurately predict the LTR trend and the LTR limit value in the whole process,thus providing a basis for roadside equipment to transmit specific warnings in advance on the curve.