摘要
交通事件的发生带来严重的社会经济损耗和交通效率低下.文章提出一种基于支持向量机(SVM),利用无线传感器收集和发送的实时交通数据,判断高速公路上是否发生交通事件的方法.仿真实验表明,检测方法在大多数情况下,在检测率、平均检测时间和误报率等方面,性能良好.
Traffic accidents cause serious social and economic losses and result in low efficient transport system.In this paper,a SVM-based detection method is proposed to detect traffic accidents in highway using the processed real-time traffic data collected by wireless sensors.Simulation results show that in most cases,the proposed method can perform better than the SVM baseline method with higher detection rate,and lower average detection time and false detection rate.
出处
《浙江树人大学学报（自然科学版）》
2015年第3期1-4,共4页
Journal of Zhejiang Shuren University(Acta Scientiarum Naturalium)
基金
浙江树人大学校级教改项目(2015JS2004
2015JA2024*)
浙江省教育厅一般项目(Y201534553)
