摘要
针对目前高速公路事件检测算法存在的局限性,提出基于粗糙集理论和支持向量机的高速公路事件检测算法。在介绍粗糙集理论和支持向量机原理的基础上,给出了检测算法的实现方法,并用Matlab对多种算法进行了仿真和性能对比。仿真结果表明,基于粗糙集理论和支持向量机的事件检测算法具有检测准确率高,训练时间短,泛化能力好等优点,具有良好的应用前景。
Against of the limitations of current expressway incident detection algorithm,a traffic incident detection algorithm based on Rough Sets（RS） theory and Support Vector Maehine（SVM） is proposed.On the basis of introducing the principle of Rough Sets theory and Support Vector Machine,the detection algorithm method is given.Further,variety of algorithms simulation and performance comparison is clone with Matlab.Simulation results show that freeway incident detection algorithm based on RS and SVM has such advantages as high detection rate,fast training ability and good generalization.It is found to be potentially applicable in practice.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第35期203-205,共3页
Computer Engineering and Applications
关键词
粗糙集
支持向量机
高速公路
事件检测
Rough Sets （RS）
Support Vector Machine （SVM）
freeway
incident detection
