Vehicle Classification Using the Discrete Fourier Transform with Traffic Inductive Sensors

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. The authors proposal will be evaluated by means of real inductive signatures captured with the authors hardware prototype.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Photos; Tables;
  • Pagination: pp 27201-27214
  • Serial:
  • Publication flags:

    Open Access (libre)

Subject/Index Terms

Filing Info

  • Accession Number: 01603070
  • Record Type: Publication
  • Files: TRIS
  • Created Date: May 25 2016 2:19PM