Please wait a minute...
J4  2011, Vol. 45 Issue (12): 2109-2114    DOI: 10.3785/j.issn.1008-973X.2011.12.007
    
A novel approach for vehicle flow detection by using
anisotropic magnetoresistive sensor
YANG Bo, ZOU Fu-qiang
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Download:   PDF(0KB) HTML
Export: BibTeX | EndNote (RIS)      

Abstract  

In terms of current issues that the space geomagnetic field cannot be obtained, the geomagnetic vertical component (Z axis) is unable to reflect the vehicle’s information completely and the sensor’s output signal drifts along with the surrounding strong magnetic field by using the single or dual-axis analog anisotropic magnetoresistive(AMR) sensor in the traffic flow detection,a traffic flow detection system based on ZigBee wireless sensor network was developed and a novel approach to detect the traffic flow was proposed to solve these issues. The traditional single or dualaxis AMR sensor was replaced by the new digital threeaxis AMR sensor HMC5843, and the magnetic field strength was used to execute state machine algorithm instead of the traditional Z axis component. After the vehicle left the sensor, the surrounding magnetic field was reaccessed to solve the drifting problem of sensor. The experimental result shows that the novel method has much better measurement accuracy, reliability and redundancy than the Z-axis method.



Published: 01 December 2011
CLC:  TP 212.9  
Cite this article:

YANG Bo, ZOU Fu-qiang. A novel approach for vehicle flow detection by using
anisotropic magnetoresistive sensor. J4, 2011, 45(12): 2109-2114.

URL:

https://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2011.12.007     OR     https://www.zjujournals.com/eng/Y2011/V45/I12/2109


异向性磁阻传感器检测车流量的新方法

针对因单轴或双轴的模拟式异向性磁阻传感器检测车流量时无法获取空间磁场、地磁垂直分量(Z轴)不能全面体现车辆信息,以及环境中的强磁场导致磁阻传感器输出信号漂移等问题,根据行驶车辆对地磁场的扰动效应原理,设计开发了基于ZigBee无线传感器网络的车流量检测系统,提出一种车流量检测方法.该方法采用新型三轴数字式磁阻传感器HMC5843替代传统的单轴或双轴模拟式磁阻传感器,以三轴磁场合成的磁场强度替代地磁垂直分量执行状态机算法检测车流量,当车辆驶离传感器时重新获取环境磁场来解决信号漂移问题.实际测试表明:该方法在测量精度、可靠性、冗余度等方面均优于地磁垂直分量(Z轴)法.

[1] 杜宏川.我国智能交通系统发展现状与对策分析[J].吉林交通科技,2009(1): 60-63.
DU Hongchuan. Development and countermeasure of intelligent transportation system in China[J]. Journal of Jilin Science & Technology of Communications, 2009(1): 60-63.
[2] CAI Baigen, WEI Shangguan, WANG Jian, et al. The research and realization of vehicle detection system based on wireless magnetoresistive sensor[C]∥2009 Second International Conference on Intelligent Computation Technology and Automation. Changsha: IEEE, 2009: 476-479.
[3] WILDER J L, MILENKOVIC A, JOVANOV E. Smart wireless vehicle detection system[C]∥ 40th Southeastern Symposium on System Theory. New Orleans: IEEE, 2008: 159-163.
[4] CHEUNG S, VARAIYA P. Traffic surveillance by wireless sensor networks [R]. U C Berkeley: Transport Department, 2007.
[5] 郭鹏.应用于交通参数检测的无线传感器网络研究[D].北京:中国科学研究院,2007: 43-51.
GUO Peng. Research of wireless networked sensor for traffic parameter surveillance [D]. Beijing: Chinese Academy of Sciences, 2007: 43-51.
[6] WEN Yu, PAN Ni. Vehicle detection based on magnetic declination[C]∥ Proceedings of the 27th Chinese Control Conference. Kunming: IEEE, 2008: 586-590.
[7] WEI Shangguan, WANG Jian, CAI Baigen, et al. A novel vehicle detection method based on wireless magnetoresistive sensor[C]∥2009 Third International Symposium on Intelligent Formation Technology Application. Jiangxi: IEEE, 2009: 484-487.

[8] ZOU Fuqiang,YANG Bo,CAO Yitao. Traffic light control for a single intersection based on wireless sensor network[C]∥The Ninth International Conference on Electronic Measurement & Intruments. Beijing: IEEE, 2009: 1040-1044.
[9] 李国平,武海艳.C51实现I2C 总线的应用研究[J].福建电脑, 2006(9): 168-182.
LI Guoping,WU Haiyan. Research on realizing I2C bus by C51\
[J\]. Journal of Fujian Computer, 2006(9): 168-182.
[10] 李力,厉谨.利用GPIO模拟I2C总线协议[J].科技风,2009(12): 212-220.
LI li, LI jin. Simulate I2C bus protocol by GPIO\
[J\]. Journal of Technology Trend, 2009(12): 212-220.
[11] 孙利民,李建中,陈渝,等.无线传感器网络[M].北京:清华大学出版社,2005: 5-23.
[12] LAN Jinhui, SHI Yuqiao. Vehicle detection and recognition based on a MEMS magnetic sensor[C]∥Proceeding of the 2009 4th IEEE International Conference on Nano/Micro Engineered and Molecular Systems.Shenzhen: IEEE,2009: 404-408.
[13] DING J, CHEUNG SY, TAN C W, et al. Signal processing of sensor node data for vehicle detection[C]∥The 7th International IEEE Conference on Intelligent Transportation Systems. [S. l.]: IEEE, 2004: 70-75.
[14] 潘霓,骆乐,闻育.基于磁阻传感器的车辆检测算法综述[J].计算机工程与应用,2009,45(19): 245-248.
PAN Ni, LUO Le, WEN Yu. Review of vehicle detection algorithms based on magneto resistive sensors[J]. Journal of Computer Engineering and Applications, 2009, 45(19): 245-248.

[1] PENG Chao-ran, ZHENG Zhen-rong, LI Hai-feng, LIU Xu. Wide field of view and two-dimensional position measurement
system based on linear CCD
[J]. J4, 2011, 45(8): 1475-1479.
[2] GAO Xiao-ming, LI Yi, CAI Wei, GUO Hong-sun, WANG Ping. Design of wireless sensor node based on light addressable
potentiometric sensor
[J]. J4, 2011, 45(2): 392-396.