STUDY OF FUNDAMENTAL MACROSCOPIC CHARACTERISTICS OF TRAFFIC FLOWS BY WAVELET ANALYSIS OF AUDIO SIGNALS


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Abstract

The paper proposes an approach to the study of the traffic flow characteristics by wavelet analysis of audio signals, which makes it possible to build fundamental macroscopic models of traffic flows with the possibility of dividing by types of vehicles.

About the authors

O. K. Golovnin

Samara University

Author for correspondence.
Email: golovnin@ssau.ru
Russian Federation, Moskovskoe shosse 34, Samara, 443086

S. A. Prokhorov

Samara University

Email: golovnin@ssau.ru
Russian Federation, Moskovskoe shosse 34, Samara, 443086

A. A. Stolbova

Samara University

Email: golovnin@ssau.ru
Russian Federation, Moskovskoe shosse 34, Samara, 443086

References

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  8. Golovnin O., Privalov A., Stolbova A., Ivaschenko A. Audio-Based Vehicle Detection Implementing Artificial Intelligence // Studies in Systems, Decision and Control. 2020. Vol. 337. P. 627–638.
  9. Golovnin O., Stolbova A., Ostroglazov N. An Analysis of Road Traffic Flow Characteristics Using Wavelet Transform // Studies in Systems, Decision and Control. 2019. Vol. 199. P. 433–445.
  10. Zinemanas P., Cancela P., Rocamora M. MAVD-traffic dataset (Version 0.1.0). Presented at the Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2019 Workshop), New York, USA: Zenodo, 2019.

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Copyright (c) 2021 Golovnin O.K., Prokhorov S.A., Stolbova A.A.

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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Journal of Dynamics and Vibroacoustics

ISSN 2409-4579 (Online)

Publisher and Founder: Samara National Research University, 34, Moskovskoye shosse, Samara, 443086, Russian Federation.

Extract from the register of registered media

Editor-in-chief:  Academician of the RAS
E. V. Shakhmatov 

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Address for correspondence: 34, Moskovskoye shosse, Samara, 443086, Russian Federation, Samara National Research University (room 324, building 14)

Phone: 8 (846) 267 47 66

e-mail: dynvibro@ssau.ru

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