Vehicle Classification Using the Discrete Fourier Transform with Traffic Inductive Sensors

Sensors

José J. Lamas-Seco²  Paula M. Castro¹  Adriana Dapena²  Francisco J. Vazquez-Araujo² 

[1] 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;

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

DOI  :  10.3390/s151027201

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.