论文利用神经网络自学习、自组织、自适应能力的特性,在传统BP神经网络模型基础上,构建了道路交通事故预测的改进BP神经网络模型;以我国近年来道路交通事故统计资料为基础,通过所建预测模型,实现了对交通事故次数、死亡人数、直接经济损失等交通事故有关参数的预测。 Based on the traditional BP neural network model, this paper constructs an improved BP neural network model for predicting road traffic accidents. Based on the statistical data of road traffic accidents in recent years in our country, Through the prediction model, the forecast of traffic accidents such as the number of traffic accidents, the death toll and the direct economic loss has been realized.