Format

Send to

Choose Destination
Sensors (Basel). 2019 Jul 11;19(14). pii: E3067. doi: 10.3390/s19143067.

Discovering Speed Changes of Vehicles from Audio Data.

Author information

1
Department of Applied Mathematics and Computer Science, University of Life Sciences in Lublin, 20-950 Lublin, Poland.
2
Department of Multimedia, Polish-Japanese Academy of Information Technology, 02-008 Warsaw, Poland.
3
Department of Energetics and Transportation, University of Life Sciences in Lublin, 20-950 Lublin, Poland. andrzej.kuranc@up.lublin.pl.
4
Department of Energetics and Transportation, University of Life Sciences in Lublin, 20-950 Lublin, Poland.

Abstract

In this paper, we focus on detection of speed changes from audio data, representing recordings of cars passing a microphone placed near the road. The goal of this work is to observe the behavior of drivers near control points, in order to check whether their driving is safe both when approaching the speed camera and after passing it. The audio data were recorded in controlled conditions, and they are publicly available for downloading. They represent one of three classes: car accelerating, decelerating, or maintaining constant speed. We used SVM, random forests, and artificial neural networks as classifiers, as well as the time series based approach. We also tested several approaches to audio data representation, namely: average values of basic audio features within the analyzed time segment, parametric description of the time evolution of these features, and parametric description of curves (lines) in the spectrogram. Additionally, the combinations of these representations were used in classification experiments. As a final step, we constructed an ensemble classifier, consisting of the best models. The proposed solution achieved an accuracy of almost 95%, without mistaking acceleration with deceleration, and very rare mistakes between stable speed and speed changes. The outcomes of this work can become a basis for campaigns aiming at improving traffic safety.

KEYWORDS:

audio signal analysis; road traffic safety; speed changes detection

PMID:
31336789
DOI:
10.3390/s19143067
Free full text

Supplemental Content

Full text links

Icon for Multidisciplinary Digital Publishing Institute (MDPI)
Loading ...
Support Center