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

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
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article

You Only Look Once Version 8 (YOLOv8)-Driven Emergency Vehicle Detection and Graph Neural Networks (GNNs) based Traffic Signal Prioritization

B. Shyamala Gowri, N S Amirthavarshini, Anlin Sahaya Infant Tinu M, Harini S
2 citations
Brain Tumor Detection and Classification
1.68
article

You Only Look Once Version 8 (YOLOv8)-Driven Emergency Vehicle Detection and Graph Neural Networks (GNNs) based Traffic Signal Prioritization

B. Shyamala Gowri, N S Amirthavarshini, Anlin Sahaya Infant Tinu M, Harini S
article en
2 citations

Abstract

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.

Openalex Percentile: Top 16%
Brain Tumor Detection and Classification
1.68
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