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| 基于SVM的交通事件检测技术 | |
| 引用本文： | 陈维荣,关佩,邹月娴.基于SVM的交通事件检测技术[J].西南交通大学学报,2011,46(1):63-67. |
| 作者姓名： | 陈维荣 关佩 邹月娴 |
| 作者单位： | 1. 西南交通大学电气工程学院,四川,成都,610031 2. 西南交通大学电气工程学院,四川,成都,610031;北京大学深圳研究生院,广东,深圳,518055 3. 北京大学深圳研究生院,广东,深圳,518055 |
| 基金项目： | 国家863计划资助项目(2007AA11Z224) |
| 摘 要： | 为减少交通事件引起的交通延误,提出了一种基于支持向量机(SVM)的交通事件自动检测(SVM-AID)算法.采用实际高速公路交通参数数据库(I-880数据库),对SVM-AID算法的分类性能进行测试,并分析了SVM中各参数对分类效果的影响.结果表明,SVM中参数对分类效果的影响很大,必须慎重选择;SVM-AID算法对不同... |
| 关 键 词： | 交通事件检测 支持向量机 核函数 I-880数据库 |
Automatic Incident Detection Technology Based on SVM |
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| CHEN Weirong,GUAN Pei,ZOU Yuexian.Automatic Incident Detection Technology Based on SVM[J].Journal of Southwest Jiaotong University,2011,46(1):63-67. | |
| Authors: | CHEN Weirong GUAN Pei ZOU Yuexian |
| Institution: | CHEN Weirong 1,GUAN Pei 1,2,ZOU Yuexian2(1.School of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031,China,2.Shenzhen Graduate School,Peking University,Shenzhen 518055,China) |
| Abstract: | In order to reduce traffic delays caused by traffic incidents,an new AID(automatic incident detection) algorithm,SVM-AID algorithm,was proposed based on support vector machines(SVM).Using actual traffic data of the I-880 database,the classification performance of the SVM-AID algorithm was tested,and the effects of the parameters in SVM on the classification were analyzed.The experimental results show that the parameters should be chosen carefully because they have great effects on the classification.The cor... |
| Keywords: | traffic incident detection support vector machines kernel function I-880 database |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |