You Only Look Once Version 8 (YOLOv8)-Driven Emergency Vehicle Detection and Graph Neural Networks (GNNs) based Traffic Signal Prioritization
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.
Authors
- B. Shyamala Gowri (ORCID: https://orcid.org/0000-0003-1256-1836)
- N S Amirthavarshini
- Anlin Sahaya Infant Tinu M
- Harini S
Publication Details
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1109/ictmim65579.2025.10988348
- Citations
- 2
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 1.68