📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 6, JUNE 2025

INTELLIGENT TRAFFIC SAFETY SYSTEM – Traffic data fetching Techniques

Bharathi N, Nayana R A, Nisarga N L, Renushree R and Sahana A U

DOI: 10.17148/IJARCCE.2025.14671

Abstract: The increasing number of vehicles on roads, coupled with urban population growth, has significantly intensified traffic-related challenges, including congestion, delays, and accidents. Traditional traffic management systems often lack the adaptability and responsiveness required to ensure road safety in real time. This report explores the design and implementation of an Intelligent Traffic Safety System (ITSS) that leverages modern technologies such as Yolo model-v3, Artificial Intelligence (AI) and computer vision to enhance traffic monitoring, management, and accident prevention.

Keywords: Research Paper, Technical Writing, Science, Engineering and Technology

How to Cite:

[1] Bharathi N, Nayana R A, Nisarga N L, Renushree R and Sahana A U, “INTELLIGENT TRAFFIC SAFETY SYSTEM – Traffic data fetching Techniques,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14671