Vehicle Classification Using the Discrete Fourier Transform with Traffic Inductive Sensors
Grupo de Tecnoloxía Electrónica e Comunicacións (GTEC), Departamento de Electrónica e Sistemas, Facultade de Informática, Universidade da Coruña, Campus da Coruña, 15071 A Coruña, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Felipe Jimenez
Sensors 2015, 15(10), 27201-27214; https://doi.org/10.3390/s151027201
Received: 30 July 2015 / Revised: 11 October 2015 / Accepted: 22 October 2015 / Published: 26 October 2015
(This article belongs to the Special Issue Sensors in New Road Vehicles)
Inductive Loop Detectors (ILDs) are the most commonly used sensors in traffic management systems. This paper shows that some spectral features extracted from the Fourier Transform (FT) of inductive signatures do not depend on the vehicle speed. Such a property is used to propose a novel method for vehicle classification based on only one signature acquired from a sensor single-loop, in contrast to standard methods using two sensor loops. Our proposal will be evaluated by means of real inductive signatures captured with our hardware prototype.
View Full-Text
Keywords:
analytical methods; data acquisition; inductive loop detectors; intelligent transportation systems; sensor applications; sensor devices; sensor modeling; signal processing; software for sensors; traffic applications
▼
Show Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Lamas-Seco, J.J.; Castro, P.M.; Dapena, A.; Vazquez-Araujo, F.J. Vehicle Classification Using the Discrete Fourier Transform with Traffic Inductive Sensors. Sensors 2015, 15, 27201-27214.
Show more citation formats
