Smart City Gnosys

Smart city article details

Title	A Systematic Review Of Drone Based Road Traffic Monitoring System
ID_Doc	5465
Authors	Bisio I.; Garibotto C.; Haleem H.; Lavagetto F.; Sciarrone A.
Year	2022
Published	IEEE Access, 10
DOI	http://dx.doi.org/10.1109/ACCESS.2022.3207282
Abstract	Drone deployment has become crucial in a variety of applications, including solutions to traffic issues in metropolitan areas and highways. On the other hand, data collected via drones suffers from several problems, including a wide range of object scales, angle variations, truncation, and occlusion. To process and manipulate visual data from the drones, a variety of image processing algorithms have been employed, each with a distinct aim. Additionally, recent breakthroughs in the field of Artificial Intelligence, particularly deep learning, have attracted broad interest and are being applied to many domains in the framework of smart cities, including road traffic monitoring. The purpose of this study is to conduct a systematic review of drone-based traffic monitoring systems from a deep learning perspective. This work focuses on vehicle detection, tracking, and counting, since they are fundamental building blocks towards founding solutions for traffic congestion, flow rate and vehicle speed estimation. Additionally, drone-based datasets are examined, which face issues and problems caused by the diversity of features inherent of drone devices. The review analysis presented in this work summarizes the literature solutions provided and deployed so far and discusses future research trends in establishing a comprehensive traffic monitoring system in support of the development of smart cities. © 2013 IEEE.
Author Keywords	Deep learning; drone; smart city; traffic monitoring; UAV

Similar Articles

Id	Similarity	Authors	Title	Published
21085	0.912	Kumar N.; Yogesh H.V.; Sharma K.	Drone-Based Traffic Flow Management For Smart Cities: Problems And Solutions	Smart Sensors for Industry 4.0: Fundamentals, Fabrication and IIoT Applications (2024)
49963	0.904	Mehta Y.; Ashok A.; Desharaju D.; Srinivasan P.C.; Manchikanti S.; Gao J.	Smart City Ai Traffic Cloud - City Traffic Analysis And Monitoring Using Ai Models	Proceedings - 2025 IEEE Conference on Artificial Intelligence, CAI 2025 (2025)
27308	0.903	Ahmed M.W.; Adnan M.; Ahmed M.; Janssens D.; Wets G.; Ahmed A.; Ectors W.	From Stationary To Nonstationary Uavs: Deep-Learning-Based Method For Vehicle Speed Estimation	Algorithms, 17, 12 (2024)
41727	0.903	Bisio I.; Haleem H.; Garibotto C.; Lavagetto F.; Sciarrone A.	Performance Evaluation And Analysis Of Drone-Based Vehicle Detection Techniques From Deep Learning Perspective	IEEE Internet of Things Journal, 9, 13 (2022)
54411	0.901	Iftikhar S.; Asim M.; Zhang Z.; Muthanna A.; Chen J.; El-Affendi M.; Sedik A.; Abd El-Latif A.A.	Target Detection And Recognition For Traffic Congestion In Smart Cities Using Deep Learning-Enabled Uavs: A Review And Analysis	Applied Sciences (Switzerland), 13, 6 (2023)
31733	0.9	Ismail Al-Alawi A.; Swar R.A.	Innovative Traffic Monitoring System Using Drones: A Literature Review	2nd International Conference on IT Innovations and Knowledge Discovery, ITIKD 2024 (2025)
51478	0.899	Othman K.M.; Alzaben N.; Alruwais N.; Maray M.; Darem A.A.; Mohamed A.	Smart Surveillance: Advanced Deep Learning-Based Vehicle Detection And Tracking Model On Uav Imagery	Fractals, 33, 2 (2025)
8692	0.897	Farahdel A.; Vedaei S.S.; Wahid K.	An Iot Based Traffic Management System Using Drone And Ai	Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022 (2022)
6716	0.89	Caruso A.; Galluccio L.; Grasso C.; Ignaccolo M.; Inturri G.; Leonardi P.; Schembra G.; Torrisi V.	Advancing Urban Traffic Monitoring In Smart Cities: A Field Experiment With Uav-Based System For Transport Planning And Intelligent Traffic Management	Integrated Communications, Navigation and Surveillance Conference, ICNS (2025)
10019	0.887	Shirazi M.S.; Patooghy A.; Shisheie R.; Haque M.M.	Application Of Unmanned Aerial Vehicles In Smart Cities Using Computer Vision Techniques	2020 IEEE International Smart Cities Conference, ISC2 2020 (2020)