Urban traffic monitoring and analysis using unmanned aerial vehicles (UAVs): A systematic literature review

EV Butilă, RG Boboc - Remote Sensing, 2022 - mdpi.com
Unmanned aerial vehicles (UAVs) are gaining considerable interest in transportation
engineering in order to monitor and analyze traffic. This systematic review surveys the …

Developing a time-series speed prediction model using Transformer networks for freeway interchange areas

L Wu, Y Wang, J Liu, D Shan - Computers and Electrical Engineering, 2023 - Elsevier
This study investigates the lane-level speed distribution in the freeway interchange area and
develops a time-series speed prediction model using Transformer networks. The full-sample …

FRCNN-based reinforcement learning for real-time vehicle detection, tracking and geolocation from UAS

CH Singh, V Mishra, K Jain, AK Shukla - Drones, 2022 - mdpi.com
In the last few years, uncrewed aerial systems (UASs) have been broadly employed for
many applications including urban traffic monitoring. However, in the detection, tracking, and …

Real-time intersection vehicle turning movement counts from live UAV video stream using multiple object tracking

Y Wang, IWH Ho, Y Wang - Journal of Intelligent and …, 2023 - ieeexplore.ieee.org
The intelligent transportation system (ITS) is committed to ensuring safe and effective next-
generation traffic throughout a city. However, such efficient operation on urban traffic …

Utilizing YOLOv8 for enhanced traffic monitoring in intelligent transportation systems (ITS) applications

M Bakirci - Digital Signal Processing, 2024 - Elsevier
The increasing demand for artificial intelligence-based motor vehicle detection in Intelligent
Transportation Systems (ITS) applications highlights the significance of advancements in …

Enhancing accuracy to track and count multiple vehicles from surveillance video using back propagation neural network over oriented and rotated brief algorithm

SP Kumar, R Khilar - AIP Conference Proceedings, 2023 - pubs.aip.org
The project's goal is to identify vehicles, measure count and provide results as the vehicle
count. Materials and methods: The performance measure for highest accuracy rate in novel …

Computer Vision in the Sky: Ultralytics YOLOv8 and Deep SORT Synergy for Accurate Vehicle Speed Monitoring in Drone Video

V Nagpal, M Devare - Journal of Electrical Systems, 2024 - search.proquest.com
In recent years, the utilization of UAV video for traffic monitoring has experienced a
significant surge in both popularity and effectiveness. This upward trend can be primarily …

[HTML][HTML] Development of A Trajectory Population Data and its Application in CAV Research

MR Islam - 2023 - vtechworks.lib.vt.edu
Vehicle trajectory data has played a critical role in the recent history of traffic flow and CAV
operations-related studies. However, available trajectories have limited coverage, either …

Integrated smart pavement systems for environment monitoring, localization, and traffic data collection

Y Wang - 2023 - theses.lib.polyu.edu.hk
The traffic engineering is making considerable strides towards autonomous driving
technology. Although single-vehicle autonomous driving (SAD) has advanced algorithms …

[PDF][PDF] FRCNN-Based Reinforcement Learning for Real-Time Vehicle Detection, Tracking and Geolocation from UAS. Drones 2022, 6, 406

CH Singh, V Mishra, K Jain, AK Shukla - 2022 - researchgate.net
In the last few years, uncrewed aerial systems (UASs) have been broadly employed for
many applications including urban traffic monitoring. However, in the detection, tracking, and …