Traffic Accident Prediction Model in Waterway Based on Structural Equation and BP Neural Network

Aiming at the problems of many influencing factors and low accuracy in predicting the occurrence of water traffic accidents, the SE-BP neural network model is established based on the principles of structural equation and BP neural network, the structural equation is used to identify the important influencing factors, and the BP neural network model is used to predict the accident. The test of actual accident data shows that the prediction accuracy of the SE-BP neural network model is better than that of the Bayesian network model and the Support vector machine model, the prediction efficiency is better than that of BP neural network model, which is a better method for the prediction of water traffic accidents