A Novel Criterion for Vehicle Classification using Inductive Vehicle Signatures

ADRIANA, DAPENA and FRANCISCO, J. VAZQUEZ-ARAUJO and JOSE, J. LAMAS-SECO and PAULA, M. CASTRO (2015) A Novel Criterion for Vehicle Classification using Inductive Vehicle Signatures. In: Third International Conference on Advances in Computing, Electronics and Communication - ACEC 2015, 10-11 October, 2015, Zurich, Switzerland.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: vehicle classification, inductive loop detectors, Fourier transform, sensors, signal processing, data acquisition, data classification, decision making, hardware prototype.
Depositing User: Mr. John Steve
Date Deposited: 19 Apr 2019 12:07
Last Modified: 19 Apr 2019 12:07
URI: http://publications.theired.org/id/eprint/1391

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