Lamas Seco, José JuanCastro-Castro, Paula-MaríaDapena, AdrianaVázquez Araújo, Francisco JavierFacultade de Informática, Departamento de Electrónica e Sistemas, Grupo de Tecnoloxía Electrónica e Comunicacións (GTEC)2015-10-302015-10-302015Lamas-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. 27201-27214.1424-8220doi:10.3390/s151027201http://hdl.handle.net/2183/15466[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.engReconocimiento 3.0http://creativecommons.org/licenses/by/3.0/Analytical methodsData acquisitionInductive loop detectorIntelligent transportation systemsSensor applicationsSensor devicesSensor modelingSignal processingSoftware for sensorsTraffic applicationsjournal articleopen access