Use of Unmanned Aerial Vehicles for Traffic Surveys

The paper deals with the topic of monitoring traffic using unmanned aerial vehicles. The main research goal was to test the possibility of using aerial vehicles for traffic engineering applications, especially for determining the traffic intensity on roads and for evaluating the data on traffic usin...

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Main Authors: Kampf Rudolf, Kubina Milan, Bartuška Ladislav, Soviar Jakub
Format: Article
Language:English
Published: Sciendo 2022-01-01
Series:Logi
Subjects:
Online Access:https://doi.org/10.2478/logi-2022-0015
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author Kampf Rudolf
Kubina Milan
Bartuška Ladislav
Soviar Jakub
author_facet Kampf Rudolf
Kubina Milan
Bartuška Ladislav
Soviar Jakub
author_sort Kampf Rudolf
collection DOAJ
description The paper deals with the topic of monitoring traffic using unmanned aerial vehicles. The main research goal was to test the possibility of using aerial vehicles for traffic engineering applications, especially for determining the traffic intensity on roads and for evaluating the data on traffic using video footage. The practical part of the paper focuses on the evaluation of data on traffic obtained by means of unmanned aerial vehicle at a selected intersection of roads. The data are evaluated using SW based on work with neural networks. A stationary system composed of an unmanned aircraft, camera system with a stabiliser, ground source with voltage converter, wire unwinding system and accessories were created by the staff of the ITB for the purpose of video recording the traffic from a 20-meter height. Such a tethered unmanned aerial system enabled a long-term operation in the air and a video recording lasting 1 hour at least.
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spelling doaj.art-2ebcbf88d6c74809b4f3dca1ead017772024-04-15T07:43:26ZengSciendoLogi2336-30372022-01-0113116317310.2478/logi-2022-0015Use of Unmanned Aerial Vehicles for Traffic SurveysKampf Rudolf0Kubina Milan1Bartuška Ladislav2Soviar Jakub3The Institute of Technology and Businessin České Budějovice, Faculty of Technology, 37001 České Budějovice, Czech RepublicUniversity of Zilina, Faculty of Management Science and Informatics, Department of Management Theories, SlovakiaThe Institute of Technology and Businessin České Budějovice, Faculty of Technology, 37001 České Budějovice, Czech RepublicUniversity of Zilina, Faculty of Management Science and Informatics, Department of Management Theories, SlovakiaThe paper deals with the topic of monitoring traffic using unmanned aerial vehicles. The main research goal was to test the possibility of using aerial vehicles for traffic engineering applications, especially for determining the traffic intensity on roads and for evaluating the data on traffic using video footage. The practical part of the paper focuses on the evaluation of data on traffic obtained by means of unmanned aerial vehicle at a selected intersection of roads. The data are evaluated using SW based on work with neural networks. A stationary system composed of an unmanned aircraft, camera system with a stabiliser, ground source with voltage converter, wire unwinding system and accessories were created by the staff of the ITB for the purpose of video recording the traffic from a 20-meter height. Such a tethered unmanned aerial system enabled a long-term operation in the air and a video recording lasting 1 hour at least.https://doi.org/10.2478/logi-2022-0015unmanned aerial vehiclesneural networkstraffic analysistraffic surveys
spellingShingle Kampf Rudolf
Kubina Milan
Bartuška Ladislav
Soviar Jakub
Use of Unmanned Aerial Vehicles for Traffic Surveys
Logi
unmanned aerial vehicles
neural networks
traffic analysis
traffic surveys
title Use of Unmanned Aerial Vehicles for Traffic Surveys
title_full Use of Unmanned Aerial Vehicles for Traffic Surveys
title_fullStr Use of Unmanned Aerial Vehicles for Traffic Surveys
title_full_unstemmed Use of Unmanned Aerial Vehicles for Traffic Surveys
title_short Use of Unmanned Aerial Vehicles for Traffic Surveys
title_sort use of unmanned aerial vehicles for traffic surveys
topic unmanned aerial vehicles
neural networks
traffic analysis
traffic surveys
url https://doi.org/10.2478/logi-2022-0015
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