交通运输系统工程与信息

交通运输系统工程与信息 ›› 2007, Vol. 7 ›› Issue (5): 37-41 .

• 智能交通系统与信息技术 • 上一篇    下一篇

基于boosting 算法的交通事件检测

孙熙，李夏苗   

  1. 中南大学交通运输工程学院，湖南 长沙 410075
  • 收稿日期:2007-04-17 修回日期:1900-01-01 出版日期:2007-10-20 发布日期:2007-10-20

Traffic Incidents Detection Based on Boosting Method

Sun Xi, Li Xiamiao   

  1. College of Traffic and Transport Engineering, Central South University, Changsha 410075, China
  • Received:2007-04-17 Revised:1900-01-01 Online:2007-10-20 Published:2007-10-20

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被引次数

4

摘要： 提出一种新颖的基于boosting模糊分类的交通事件检测方法。该方法利用Boosting方法和遗传算法以迭代形式获取一组模糊规则及规则对应的权值，分类器以加权投票方式进行分类决策。运用Matlab 进行了仿真分析，结果表明提出的交通事件检测算法利用较少样本数据即可快速实现交通事件检测。

关键词: 交通事件检测, 遗传算法, Boosting方法, 模糊分类器

Abstract: A novel method is proposed for traffic incidents detection based on boosting fuzzy classification. The fuzzy rule and the weight have been obtained using boosting method and Genetic algorithm in an incremental fashion. The classified using aggregate the castled votes to carry through the classified decision-making. Finally we have simulated with Mat lab and found out that the algorithm can detect incidents fleetly using a few samples.

Key words: traffic incidents detection, genetic algorithm, boosting algorithm, fuzzy classifier

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