Title :
Vehicle detection using non-invasive magnetic wireless sensor network
Author :
Liepins, M. ; Severdaks, A.
Author_Institution :
Inst. of Electron. & Comput. Sci., Riga, Latvia
Abstract :
This paper describes a method for vehicle counting in intelligent traffic management system using non-invasive wireless magnetic sensor network. Compared to other techniques, magnetic sensors are not affected by weather conditions thus giving more stable and robust data to work with. Sensors can be placed on the side of the road, therefore eliminating the need for inserting them into the road structure. Tests were performed on the road with one lane in each direction and sensors located on each side of the road with real traffic flow. Our proposed approach achieves the accuracy of ~94.8 % detection rate.
Keywords :
magnetic sensors; object detection; road vehicles; traffic engineering computing; wireless sensor networks; intelligent traffic management system; non-invasive magnetic wireless sensor network; real traffic flow; road structure; vehicle counting; vehicle detection; Intelligent sensors; Magnetic sensors; Magnetic separation; Roads; Vehicle detection; Vehicles; Magnetic sensor; Magnetic sensor wireless network; Vehicle detection;
Conference_Titel :
Telecommunications Forum (TELFOR), 2013 21st
Conference_Location :
Belgrade
Print_ISBN :
978-1-4799-1419-7
DOI :
10.1109/TELFOR.2013.6716302