Back to Search Start Over

Implementation of the vehicle recognition systems using wireless magnetic sensors.

Authors :
Vançin, Sercan
Erdem, Ebubekir
Source :
Sādhanā: Academy Proceedings in Engineering Sciences. Jun2017, Vol. 42 Issue 6, p841-854. 14p.
Publication Year :
2017

Abstract

Wireless network sensors and their use in traffic monitoring, traffic density determination or vehicle speed detection and classification have recently been the focus of interest for researchers. This article describes how a new sensor circuit was designed to deliver instantaneous, real-time and novel solutions as a vehicle detection system, which is more powerful than the nodes used in other studies, and gives results with smaller error margins due to its serial communication qualification. With the proposed logic algorithm, it was possible to categorise the instantaneous traffic status of a road in four levels: no traffic, mild traffic, heavy traffic and very heavy traffic. Additionally, with the nodes placed at the beginning and the end of the road, the number of vehicles per hour for a day was determined and traffic was analysed. Then, vehicles passing by were classified with a proposed classification algorithm and magnetic signature length (MSL) parameter as cars, minibuses, buses and trucks, and an accuracy rate of 95% was obtained. As the last application, the direction of motion of the vehicle on the x-axis as well as left-to-right or right-to-left directions was determined, and the result was 94% accurate. The simplicity of the proposed algorithms, the absence of any complex mathematical calculations, the low cost of the sensor node and circuit and the low power consumption of the communication system demonstrate the superiority of this system in comparison with other studies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02562499
Volume :
42
Issue :
6
Database :
Academic Search Index
Journal :
Sādhanā: Academy Proceedings in Engineering Sciences
Publication Type :
Academic Journal
Accession number :
123837138
Full Text :
https://doi.org/10.1007/s12046-017-0638-4