A Target Classification Algorithm Based on Transportation Sensing Network

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.