In order to solve the rollover warning problem of heavy dump truck,based on the CNN-LSTM neural network,a rollover early warning model for heavy-duty dump trucks is constructed to a-chieve real-time determination under different working conditions.Using Trucksim and MATLAB/Simu-link joint simulation,a heavy dump truck simulation model is built.With the lateral load transfer rate e-qual to ±0.85 as the rollover threshold,the vehicle operating parameters under different working condi-tions are extracted and the vehicle operating parameters are used.The CNN-LSTM heavy-duty dump truck rollover early warning model is trained and compared with the early warning models based on CNN and LSTM respectively.The results show that the prediction accuracy of CNN-LSTM heavy dump truck rollover warning model is 98.31％,and the area under ROC curve is 0.999,which is higher than the roll-over warning model built by a single neural network.It is clear that the CNN-LSTM heavy dump truck rollover warning model has some advance warning significance and is useful for reducing the occurrence of heavy dump truck rollover accidents.
关键词
重型自卸车/CNN-LSTM神经网络/横向载荷转移率/侧翻预警模型/仿真
Key words
heavy dump truck/CNN-LSTM neural network/lateral load transfer rate/rollover warning model/simulation
维普
万方数据