Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/26153
Title: Unmanned Aerial Vehicle-based Traffic Analysis: A Case Study to Analyze Traffic Streams at Urban Roundabouts
Authors: KHAN, Muhammad Arsalan 
ECTORS, Wim 
BELLEMANS, Tom 
Ruichek, Yassine
YASAR, Ansar 
JANSSENS, Davy 
WETS, Geert 
Issue Date: 2018
Publisher: Elsevier B.V
Source: The 9th International Conference on Ambient Systems, Networks and Technologies (ANT 2018), Elsevier B.V,p. 636-643
Series/Report: Procedia Computer Science
Series/Report no.: 130
Abstract: Recently, multirotor Unmanned Aerial Vehicles(UAVs) or drones have become increasingly popular for a vast variety of civil applications. Efficient traffic data collection and extraction of various flow parameters are some of the futuristic applications of this technology. However, such applications still need to be streamlined and thoroughly explored for varying traffic and infrastructural conditions. In this paper, the focus is on the authentication of the application of small multirotor UAVs for traffic data collection and subsequent analysis of traffic streams at urban roundabouts. This paper presents an analytical methodology to evaluate the performance of roundabouts by extracting various parameters and performance indicators. The performance evaluation methodology is based on: (i) determining traffic volume via OD matrices for each leg, and (ii) analyzing drivers’ behavior via gapacceptance analysis. The overall analytical process is principally based on the authors’ previously proposed automated UAV videoprocessing framework for the extraction of vehicle trajectories. The extracted trajectories are further employed to extract useful traffic information. The experimental data to analyse roundabout traffic flow conditions was obtained in the city of Sint-Truiden (Belgium). The results reflect the value of flexibility and bird-eye view provided by UAV videos; thereby depicting the overall applicability of the UAV-based traffic analysis system. With the significant increase in the usage of UAVs expected in the coming years, such studies could become a useful resource for practitioners as well as future researchers. The future research will mainly focus on further extensions of the UAV-based traffic applications
Keywords: unmanned aerial vehicles(UAV); drones; traffic data collection; traffic analysis; roundabout traffic; vehicle trajectories
Document URI: http://hdl.handle.net/1942/26153
DOI: 10.1016/j.procs.2018.04.114
ISI #: 000684379100080
Rights: © 2018 The Authors. Published by Elsevier B.V
Category: C1
Type: Proceedings Paper
Validations: ecoom 2022
vabb 2020
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
ANT_133_5487.pdfPublished version777.04 kBAdobe PDFView/Open
Show full item record

SCOPUSTM   
Citations

3
checked on Sep 7, 2020

WEB OF SCIENCETM
Citations

19
checked on Apr 23, 2024

Page view(s)

74
checked on Jul 15, 2022

Download(s)

122
checked on Jul 15, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.