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面向城市道路的地磁传感器单节点车型分类

, PP. 97-103

Keywords: 道路工程,车型分类,地磁传感器,CART算法,决策树

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Abstract:

提出了一种利用多功能地磁传感器采集道路环境磁场数据,并基于决策树模型实现车型的在线分类方法。文中提取8种与车速无关的车辆波形时域特征作为模型输入,基于最优最小划分样本数的CART算法对决策树模型进行训练。对训练得到的决策树,基于最小误差剪枝原则进行剪枝,得到具有更高样本鲁棒性的最佳剪枝树。通过在北京市某道路上布设地磁传感器获取了两种车型数据,正、反向测试的平均准确率分别为88.9%和94.4%。与现有多个分类方法进行了对比实验,结果表明:本文方法能够进行在线车型分类,并在分类准确率、样本鲁棒性和算法执行时间等方面更具优势,能够应用于实际城市道路现场进行车型分类。

References

[1]  Cheung S Y, Varaiya P. Traffic surveillance by wireless sensor networks: final report[R]. California: University of California, Berkeley,2007.
[2]  Kafai M, Bhanu B. Dynamic bayesian networks for vehicle classifcation in video[J]. IEEE Transactions on Industrial Informatics,2012,20(1):100-109.
[3]  Rajesh P, Geetha M K, Ramu R. Traffic density estimation, vehicle classification and stopped vehicle detection for traffic surveillance system using predefined traffic videos[J]. Computer Science and Engineering,2013,56:13671-13676.
[4]  Guo B F, Nixon M S, Damarla T R. Acoustic information fusion for ground vehicle classifcation[C]∥The 11th International Conference on Information Fusion,Cologne: Institute of Electrical and Electronics Engineers Inc,2008:1-7.
[5]  Paulraj M P, Adoma A H, Sundararaj S, et al. A. Moving vehicle recognition and classification based on time domain approach[J]. Procedia Engineering,2013,53:405-410.
[6]  陈强,李江,王双维,等.基于AR模型的车型自动分类技术[J].吉林大学学报:工学版,2007,37(2):325-328.Chen Qiang, Li Jiang, Wang Shuang-wei, et al. Automatic vehicle classification by radiated noise of vehicles based on AR model[J]. Journal of Jilin University (Engineering and Technology Edition),2007,37(2):325-328.
[7]  Jeng S T, Chu L, Hernandez S V. A wavelet-KNN based vehicle classification approach using inductive loop signatures[C]∥Transportation Research Board 92nd Annual Meeting,Washington: Transportation Research Board,2013.
[8]  Coifman B, Kimb S. Speed estimation and length based vehicle classication from freeway single-loop detectors[J]. Transportation Research Part C,2009,17(4):349-364.
[9]  Kaewkamnerd S, Pongthornseri R, Chinrungrueng J, et al. Automatic vehicle classification using wireless magnetic sensor[C]∥IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications,Rende: Institute of Electrical and Electronics Engineers Inc,2009:420-424.
[10]  杨兆升,杨志宏,赵丹华.高速公路收费系统的车型自动分类[J].吉林大学学报:工学版,2002,32(3): 6-9.Yang Zhao-sheng, Yang Zhi-hong, Zhao Dan-hua. Research on vehicle auto classification of freeway toll collection system[J]. Journal of Jilin University (Engineering and Technology Edition),2002,32(3):6-9.
[11]  Li Hai-jian, Dong Hong-hui, Jia Li-min, et al. Some practical vehicle speed estimation methods by a single traffic magnetic sensor[C]∥The 14th International IEEE Conference on Intelligent Transportation Systems,Washington: Institute of Electrical and Electronics Engineers Inc,2011:1566-1573.
[12]  Wu Xin-dong, Kumar V. CART: Classication and Regression Trees[M]. London:Chapman and Hall/CRC,2009:179-207.
[13]  Quinlan J R. Induction of decision trees[J]. Machine Learning,1986,1(1):81-106.

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