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.
A method to classify the vehicle based on Fourier transform REF ) with a single -loop is proposed to improve traffic management system.
Vehicle Classification Using the Discrete Fourier Transform with Traffic Inductive Sensors
Sensors
Sensors
Medicine Engineering Computer Science