Third International Conference on Advances in Computing, Electronics and Communication - ACEC 2015
Author(s) : ADRIANA DAPENA, FRANCISCO J. VAZQUEZ-ARAUJO, JOSE J. LAMAS-SECO, PAULA M. CASTRO
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.