Lamas Seco, José JuanDapena, AdrianaVázquez Araújo, Francisco JavierCastro-Castro, Paula-María2024-02-282024-02-282016-04Lamas-Seco, J.J. et al. (2016) International Journal of Advances in Computer Science & Its Applications, 6(1), pp. 64–67.2250-3765http://hdl.handle.net/2183/35742[Abstract]: Inductive Loop Detectors (ILD) are the most commonly used sensors in traffic management systems. Using the acquired inductive signatures, most proposed systems classify the vehicles using a criterion based on the estimation of the vehicle length, which requires to have a good a-priori estimate of its speed. Contrary to such standard proposals, in this paper we present a method for vehicle classification based on the criterion of the Fourier Transform (FT), which shows several interesting properties: firstly, robustness against variations in vehicle speed or constant acceleration, and secondly, only one inductive signature is required. Our method will be evaluated using real inductive signatures captured with a hardware prototype also developed by us.engAtribución 3.0 Españahttp://creativecommons.org/licenses/by/3.0/es/Vehicle classificationInductive loop detectorFourier transformSensorsSignal processingData acquisitionData classificationDecision makingHardware prototypejournal articleopen access