基于贝叶斯分类的公路交通事件分类方法研究

Research on Highway Traffic Event Classification Method Based on Bayesian Classification

高速公路监控员的主观因素往往导致交通事件现场救援组织标准的不一致,进而降低了交通事故应急响应的效率。文中提出了一种基于贝叶斯分类的交通事件分类方法。该方法使用贝叶斯算法对交通事件数据进行分类并得到每个分类的概率,通过引入条件概率,改进传统的人为判断得出救援方案的分类方法,在一定程度上降低了人为主观判断对交通事件现场救援效率的影响。实验结果表明,该方法对交通事件的分类与实际情况相符。

Personal judgments of highway management organization staffs often lead to different standards in rescue,which in turn reduces the efficiency of emergency response to traffic accidents.This paper propose a traffic incident Bayesian classification.This method uses Bayesian algorithm to classify traffic incident data and obtain the probability of each classification.By introducing conditional probability and improving the traditional method of classifying rescue plans based on subjective judgments,it partially eliminates the impact of subjective judgments on the efficiency of on-site rescue for traffic incidents.Experimental results demonstrate that this method aligns with the actual situation of traffic incident classification.