关键词: 交通事故, 神经网络, 长短期记忆（LSTM）, 预测, 回归

Abstract: Road traffic accident is the concrete embodiment of road traffic safety level. In order to make the prediction data more scientific, it provides decision-making for traffic management system. In this paper, a traffic accident model based on LSTM （Long Short Term Memory） neural network is proposed to train traffic accident related data and predict the traffic safety level. Compared with the traditional regression model and the traditional neural network model, the experiment shows that the LSTM model has the best fitting effect, and the LSTM model has obvious advantages in predicting the same trend. Using the LSTM model to capture the temporal dependence of the data, it can predict the safety level of traffic accidents more accurately, and make the traffic management department make more scientific and accurate decision.

Key words: traffic accident, neural network, Long Short-Term Memory（LSTM）, prediction, regression