交通冲突量的BP神经网络预测方法

raffic conflicts forecasting can support preventing accidents and safety improving, and it can save observation time and manpower. Firstly, it gives improved algorithm based on BP Neural Networks. Then the model is established for traffic conflicts forecasting based on BP Neural Networks. At last, it gives a through study on an example using above BP Neural Networks forecasting method. The result validates the method is in availability. The method will be a powerful tool for traffic conflicts forecasting and safety estimating.