Application of the wavelet analysis to research the traffic flow intensity

The relevance of the work is the specific properties of the wavelet analysis, which make it possible to identify not only the amplitude-scale (frequency) characteristics of the time series under consideration, but also the evolution of these characteristics during the observation time. As a result o...

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Main Authors: M. G. Boyarshinov, A. S. Vavilin, E. V. Vaskina
Format: Article
Language:English
Published: Orenburg State University 2022-08-01
Series:Интеллект. Инновации. Инвестиции
Subjects:
Online Access:http://intellekt-izdanie.osu.ru/en/archive_new/4-2022/4-2022-pp.-88-103.html
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author M. G. Boyarshinov
A. S. Vavilin
E. V. Vaskina
author_facet M. G. Boyarshinov
A. S. Vavilin
E. V. Vaskina
author_sort M. G. Boyarshinov
collection DOAJ
description The relevance of the work is the specific properties of the wavelet analysis, which make it possible to identify not only the amplitude-scale (frequency) characteristics of the time series under consideration, but also the evolution of these characteristics during the observation time. As a result of the study, it is advisable to identify those indicators of the intensity of traffic flow that may turn out to be indicators of possible problematic situations (congestion, traffic accidents, etc.). It is advisable to use them in the future when regulating and controlling traffic on the basis of processing information about traffic flows that comes from stationary video recording complexes of traffic violations. The object of study is a road with intensive one-way traffic, equipped with a software and hardware complex that allows measuring the characteristics of the flow of motor transport. The subject of the study is the daily intensity of the flow of cars. The purpose of this study is to identify patterns in the indicators evolution obtained using wavelet analysis as a result of processing of the time series of the car traffic intensity on the road network. As a theoretical and methodological approach, the wavelet transforms using the MHat wavelet, and the Morlet wavelet is used. The approach used by the authors allowed us to establish the correspondence of some characteristics obtained during the wavelet analysis with the evolution of the traffic flow intensity function during the daily observation time, which is the scientific novelty of the study. The wavelet analysis of the data of the video surveillance software and hardware complexes obtained during the day allowed us to construct time dependences of amplitude-scale (frequency) indicators of the car traffic intensity on the road connecting the central and rear areas of the city of Perm. As a result of the study of time series, experimental three-dimensional distributions of wavelet images, scalograms, skeletons and scalegrams of the function of the daily intensity of the traffic flow were obtained. An explanation of the characteristic features of the obtained dependencies and their relationship with the initial function of the traffic flow intensity is proposed. The practical significance lies in obtaining amplitude-scale (frequency) characteristics as a result of wavelet analysis of the traffic intensity using MHat and Morlet wavelets, which is of practical interest from the point of view of predicting the movement of vehicles, controlling the operation of traffic lights, monitoring the operation of equipment, etc. The direction of further research is to obtain, process, analyze and generalize the results of performing amplitude-scale wavelet analysis for time series of traffic flow intensity on parts of the road network with different vehicle traffic intensity.
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spelling doaj.art-58143849369d46f0907ce401e87a05ed2023-04-19T07:47:12ZengOrenburg State UniversityИнтеллект. Инновации. Инвестиции2077-71752022-08-01488103https://doi.org/10.25198/2077-7175-2022-4-88Application of the wavelet analysis to research the traffic flow intensityM. G. Boyarshinov0https://orcid.org/0000-0003-4473-6776A. S. Vavilin1E. V. Vaskina2Perm National Research Polytechnic University / Perm Military Institute of the National Guard of the Russian FederationPerm National Research Polytechnic UniversityRoad Traffic Directorate of PermThe relevance of the work is the specific properties of the wavelet analysis, which make it possible to identify not only the amplitude-scale (frequency) characteristics of the time series under consideration, but also the evolution of these characteristics during the observation time. As a result of the study, it is advisable to identify those indicators of the intensity of traffic flow that may turn out to be indicators of possible problematic situations (congestion, traffic accidents, etc.). It is advisable to use them in the future when regulating and controlling traffic on the basis of processing information about traffic flows that comes from stationary video recording complexes of traffic violations. The object of study is a road with intensive one-way traffic, equipped with a software and hardware complex that allows measuring the characteristics of the flow of motor transport. The subject of the study is the daily intensity of the flow of cars. The purpose of this study is to identify patterns in the indicators evolution obtained using wavelet analysis as a result of processing of the time series of the car traffic intensity on the road network. As a theoretical and methodological approach, the wavelet transforms using the MHat wavelet, and the Morlet wavelet is used. The approach used by the authors allowed us to establish the correspondence of some characteristics obtained during the wavelet analysis with the evolution of the traffic flow intensity function during the daily observation time, which is the scientific novelty of the study. The wavelet analysis of the data of the video surveillance software and hardware complexes obtained during the day allowed us to construct time dependences of amplitude-scale (frequency) indicators of the car traffic intensity on the road connecting the central and rear areas of the city of Perm. As a result of the study of time series, experimental three-dimensional distributions of wavelet images, scalograms, skeletons and scalegrams of the function of the daily intensity of the traffic flow were obtained. An explanation of the characteristic features of the obtained dependencies and their relationship with the initial function of the traffic flow intensity is proposed. The practical significance lies in obtaining amplitude-scale (frequency) characteristics as a result of wavelet analysis of the traffic intensity using MHat and Morlet wavelets, which is of practical interest from the point of view of predicting the movement of vehicles, controlling the operation of traffic lights, monitoring the operation of equipment, etc. The direction of further research is to obtain, process, analyze and generalize the results of performing amplitude-scale wavelet analysis for time series of traffic flow intensity on parts of the road network with different vehicle traffic intensity.http://intellekt-izdanie.osu.ru/en/archive_new/4-2022/4-2022-pp.-88-103.htmltraffic flow intensitytime serieswavelet analysismhat and morlet wavelets
spellingShingle M. G. Boyarshinov
A. S. Vavilin
E. V. Vaskina
Application of the wavelet analysis to research the traffic flow intensity
Интеллект. Инновации. Инвестиции
traffic flow intensity
time series
wavelet analysis
mhat and morlet wavelets
title Application of the wavelet analysis to research the traffic flow intensity
title_full Application of the wavelet analysis to research the traffic flow intensity
title_fullStr Application of the wavelet analysis to research the traffic flow intensity
title_full_unstemmed Application of the wavelet analysis to research the traffic flow intensity
title_short Application of the wavelet analysis to research the traffic flow intensity
title_sort application of the wavelet analysis to research the traffic flow intensity
topic traffic flow intensity
time series
wavelet analysis
mhat and morlet wavelets
url http://intellekt-izdanie.osu.ru/en/archive_new/4-2022/4-2022-pp.-88-103.html
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