DocumentCode :
2972999
Title :
A Target Classification Algorithm Based on Transportation Sensing Network
Author :
Xun-Xue Cui ; Guo-Xin Qiu ; Jian-Qin Zeng ; Li-Jun Xing ; Qi Liu
Author_Institution :
New Star Res. Inst. of Appl. Technol., Hefei
fYear :
2008
fDate :
2-3 Aug. 2008
Firstpage :
520
Lastpage :
524
Abstract :
Target classification is an important enabling technology for the monitoring task in transportation sensing networks. In the paper the magnetic signal and seismic acceleration signal are collected, analyzed and transmitted for a mobile road target. A classification algorithm based on the sensor network is proposed, which adopts a peak and valley pattern of hybrid detection signals from different sensors. The hardware equipment system of sensor node is devised. The terminal nodes are small with low power consumption so that the transportation sensing network is easy to deploy. The advantage of the algorithm lies on its sorting exactness of several kinds of targets. The results from many field tests have been shown that it is capable of identifying mobile targets on some roads in intelligent transportation system.
Keywords :
signal classification; traffic engineering computing; wireless sensor networks; hybrid detection signals; intelligent transportation system; magnetic signal; seismic acceleration signal; target classification algorithm; transportation sensing network; Acceleration; Classification algorithms; Hardware; Intelligent transportation systems; Magnetic analysis; Magnetic sensors; Monitoring; Roads; Signal analysis; Signal detection; Target Classification Algorithm; Transportation Sensing Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Intelligent Transportation System, 2008. PEITS '08. Workshop on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3342-1
Type :
conf
DOI :
10.1109/PEITS.2008.109
Filename :
4634909
Link To Document :
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