DocumentCode :
1899025
Title :
The Research and Realization of Vehicle Detection System Based on Wireless Magneto-Resistive Sensor
Author :
Bai-gen, Cai ; Wei, ShangGuan ; Jian, Wang ; Rui, Chen
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
Volume :
2
fYear :
2009
fDate :
10-11 Oct. 2009
Firstpage :
476
Lastpage :
479
Abstract :
To deal with various traffic situations, traffic information collection, transmission and process is key technologies in ITS system. The development and application of traffic information collection system is widely used in developed country, while it is just at the very beginning stage in our country, possessing broad application foreground. In this paper, wireless magneto-resistive sensor network node is designed for traffic information collection system, and a set of traffic information collection algorisms for system is proposed, including traffic flow detection algorism based on low pass filter, vehicle speed detection algorism and vehicle recognition algorism. HMC1052 form Honeywell and NVE GMR magneto-resistive sensor collecting sample database are adopted in simulation, whose results proves that traffic information collection node could help to obtain information accurately, as traffic flow, vehicle speed, roadway occupancy rate, etc.
Keywords :
low-pass filters; magnetic sensors; magnetoresistive devices; traffic information systems; wireless sensor networks; ITS system; low pass filter; traffic flow detection; traffic information collection; traffic situation; vehicle recognition; vehicle speed detection; wireless magneto-resistive sensor network; Databases; Low pass filters; Magnetic sensors; Magnetic separation; Road vehicles; Sensor systems; Telecommunication traffic; Traffic control; Vehicle detection; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
Type :
conf
DOI :
10.1109/ICICTA.2009.350
Filename :
5287762
Link To Document :
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