期刊文献+

三轴AMR车辆检测器的车型分类设计实现 被引量:6

Design and Implementation of Vehicle Classification Based on 3-axis AMR Vehicle Detector
下载PDF
导出
摘要 随着城市机动车数量的不断增加,城市交通向智能交通方向的快速发展,传统的车辆检测器已经不能满足智能交通对交通状况反映的要求.车辆检测器的车型分类功能成为检测器发展的趋势,针对目前AMR车辆检测器弱化车型结构对磁场强度影响的问题,设计了一种新型的AMR车型识别检测器.单个检测器可以采集三个方向地磁变化量,结合一个高精度的时间模块,可以获得磁场强度在立体三维空间的变化,丰富了采集信息.通过比较常见的车型分类算法优缺点,采用DAG-SVM进行车型分类.实验测试的结果表明,该检测器可以有效地对车辆进行分类. With the increasing number of motor vehicle, urban transport is widely assisted by intelligent transportation system(ITS),. Traditional vehicle detector cannot meet the requirements of ITS's reflection on traffic condition, the function of vehicle classification has received great attentions. Current AMR vehicle classification detector classify vehicle by the length of vehicle but the vehicle structure. To solve this problem, this paper designs a new kind vehicle classification detector. A single detector can collect three directions' geomagnetic variation, and magnetic field strength changes in three-dimensional space can be gained with the combination of a high-precision time module, which enriches the collected information. By comparing the pros and cons of common vehicle classification algorithms, DAG-SVM is selected to classify vehicles. The experimental test results prove the effectiveness of vehicle classifier detector designed in this paper.
机构地区 北京交通大学
出处 《交通运输系统工程与信息》 EI CSCD 北大核心 2014年第4期46-52,共7页 Journal of Transportation Systems Engineering and Information Technology
基金 国家自然科学基金(61273089 61104162) 北京市自然科学基金资助项目(4144081) 中央高校基本科研业务费专项资金资助(2012JBZ009)
关键词 智能交通 车辆识别 导向无环图支持向量机 各向异性磁阻 intelligent transportation vehicle classification DAG-SVM AMR
  • 相关文献

参考文献8

  • 12012年7月份全国机动车总数调查统计[EB/OL],(2012-07-18)[2013-12-30].http://www.chinairn.com/news/20120718/936214.html.
  • 2Saowaluck Kaewkamnerd,Jatuporn Chinrungrueng, et al. Vehicle classification based on magnetic sensor signal [C]. 2010 IEEE International Conferenee on Information and Automation, 2010: 935-939.
  • 3Saowaluck Kaewkamnerd,Ronachai Pongthomseri, et al. Automatic vehicle classification using wireless magnetic sensor [C]. Procedings of 2009 IEEE International Inter- national Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Appli- cations :420-424.
  • 4Yong-Kul Ki,Doo-Kwon Balk. Vehicle-classification al- gorithm for single-loop detectors using neural networks [J]. IEEE Transactions on Vehicular Technology, 2006, 55(6) :1704-1711.
  • 5王明哲,吴皓,周丰.基于地磁的车型识别模糊数据融合方法研究[J].公路交通科技,2008,25(1):155-158. 被引量:9
  • 6冯超,贺俊吉,史立.基于支持向量机的轿车车型识别[J].上海海事大学学报,2011,32(3):85-89. 被引量:5
  • 7Vapnic. Stastical learning theory[M]. NewYork :John Wiley & Sons Inc :1998.
  • 8Chang Chih-Chung,Lin Chih-Jen.LIBSVM :A library for support vector machines[J].ACM Transaction on Intelli- gent Systens and Technolgy,2011,2(3) :1-27.

二级参考文献19

共引文献12

同被引文献37

引证文献6

二级引证文献59

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部