基于BP神经网络的道路交通事故预测

The Prediction of Road Traffic Based on Neural Network

道路交通事故预测是交通研究的一个重要课题.以我国交通安全状况为研究对象,依据我国道路交通事故的特点,利用神经网络具有自学习、自组织、自适应能力特性,运用神经网络的方法及我国多个年度道路交通事故统计数据,建立了道路交通事故神经网络宏观预测模型,预测精度符合道路交通事故预测的要求.

Prediction of road traffic accidents is a important aspect of traffic research, With the priority of Neural network systemts ability of self-organization and self-adaptation, by means of Neural system and road traffic accidents statistic data, this article set up the macro model of neural network prediction system of traffic accident by investigation of traffic safety condition in China. The error of prediction is satisfactory to Prediction of road traffic accidents.