The research develops a traffic management system that integrates You Only Look Once version 8 (YOLOv8) for emergency vehicle detection and Graph Neural Network (GRAPH NEURAL NETWORKS (GNNs))-based traffic signal prioritization to address the inefficiencies of traditional traffic management systems. These systems often fail to detect emergency vehicles accurately and adapt traffic signals in real-time, leading to delayed emergency responses and traffic congestion. The proposed system leverages You Only Look Once version 8 (YOLOv8)'s superior object detection capabilities and GRAPH NEURAL NETWORKS (GNNs)-based reinforcement learning to dynamically adjust traffic signals based on real-time road conditions. Experimental results demonstrate a 40% reduction in emergency vehicle response time and a 35% improvement in traffic flow, showcasing the system's ability to enhance urban traffic performance and emergency response efficiency.
You Only Look Once Version 8 (YOLOv8)-Driven Emergency Vehicle Detection and Graph Neural Networks (GNNs) based Traffic Signal Prioritization
07.04.2025
628645 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
An Improved You Only Look Once Based Intelligent System for Moving Vehicle Detection
Springer Verlag | 2023
|An Improved You Only Look Once Based Intelligent System for Moving Vehicle Detection
Springer Verlag | 2023
|