Integrating AI-Technology with Unmanned Aerial Vehicles for Traffic Congestion Recognition

Abstract

This article explores the integration of unmanned aerial vehicles (UAVs) and artificial intelligence (AI) technology to address traffic congestion. By leveraging UAVs equipped with route-planning capabilities, aerial images of traffic scenes are captured and analyzed using convolutional neural networks (CNNs). The processed data is then transmitted to a traffic management center, enabling timely recognition and response to congestion. This framework offers a practical approach to alleviate traffic delays, reduce fuel consumption, mitigate pollution, and enhance overall road safety