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Open AccessArticle

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
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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 analytical methods; data acquisition; inductive loop detectors; intelligent transportation systems; sensor applications; sensor devices; sensor modeling; signal processing; software for sensors; traffic applications
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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.

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