Vehicle Classification using the Discrete Fourier Transform with Traffic Inductive Sensors

Lamas Seco, José Juan; Castro-Castro, Paula-María; Dapena, Adriana; Vázquez Araújo, Francisco Javier

Use this link to cite:

http://hdl.handle.net/2183/15466

Vehicle Classification using the Discrete Fourier Transform with Traffic Inductive Sensors

Files

sensors-15-27201-4.pdf (2.67 MB)

Identifiers

URI: http://hdl.handle.net/2183/15466

Publication date

2015

Authors

Lamas Seco, José Juan

Castro-Castro, Paula-María

Dapena, Adriana

Vázquez Araújo, Francisco Javier

Other responsabilities

Facultade de Informática, Departamento de Electrónica e Sistemas, Grupo de Tecnoloxía Electrónica e Comunicacións (GTEC)

Bibliographic citation

Lamas-Seco, José J.; Castro-Castro, Paula-María; Dapena, Adriana; Vazquez-Araujo, Francisco J. (2015). "Vehicle Classification Using the Discrete Fourier Transform with Traffic Inductive Sensors", Sensors 15, no. 10, pp. 27201-27214.

Abstract

[Abstract] 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.