基于RBF网络的交通事故预测

随着我国交通需求的持续增长,机动车的数量不断增加,交通事故频频发生,安全成为交通管理中一个不容忽视的问题。为减少交通事故发生,需要根据交通事故发生的原因对交通事故进行分析预测,以便对引发事故的重要原因采取有效的措施。运用RBF网络,建立交通事故预测模型,并将预测结果与实际数据进行比较,对我国交通事故管理有重要的意义。

Traffic Accident Prediction Based on RBF Network

With the growing traffic demand and the increasing number of motor vehicles in China, traffic accidents occur fre- quently, and security has become a problem that cannot be ignored in the traffic management. To reduce traffic accidents, the causes should be analyzed and accidents be predicted to take effective measures. The paper, based on traffic statistics and RBF network, builds the mode of traffic accident prediction and compares the prediction results with actual data, which is of significance for the traffic accident management in China.