ACCELEROMETER DATA SPECTRAL ANALYSIS FOR VEHICLES DETECTION AND IDENTIFICATION

Dmitry Obertov

2012 , VOLUME 12, NUMBER 6 ( November-December )

ISSN 2226-1494 (print), ISSN 2500-0373 (online)

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Vladimir O.
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ACCELEROMETER DATA SPECTRAL ANALYSIS FOR VEHICLES DETECTION AND IDENTIFICATION

D. Obertov

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Abstract

The article deals with the problems of frequency and time analysis of road surface vibrations caused by passing vehicles. The vibrations are measured by accelerometers installed in the traffic lane markings. Data preprocessing is implemented before using them to analyze the parameters of the traffic flow. The results of spectral analysis and filtering of data are presented.

Keywords: accelerometer, vehicles detection, identification of vehicle classes, intelligent transport systems, spectra, spectral processing, spectral range, fast Fourier transform (FFT), short-windowed Fourier transform.

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