Paper Title
AI Based Emergency Vehicles Detecting and Traffic Controlling System
Article Identifiers
Authors
Aditya Pawar , Yogesh Sutar
Keywords
Emergency Vehicles, Artificial Intelligence, Video Processing, Traffic Signals, Traffic Congestion, Intelligent Traffic Management System, Scheduling Algorithm, Integrated Circuit
Abstract
Intersection congestion presents a formidable obstacle to the efficient movement of emergency vehicles, such as ambulances and fire trucks, jeopardizing prompt responses to life-threatening situations. Despite ongoing efforts, existing solutions have struggled to adequately address this pressing issue. However, our innovative artificial intelligence (AI)-based system offers a superior alternative. Leveraging advanced AI algorithms, our technology intelligently detects and prioritizes approaching emergency vehicles, enabling dynamic adjustments to traffic signal timings at intersections. This strategic allocation of green signal intervals minimizes transit delays, resulting in significantly reduced response times for emergency vehicles. Notably, our system seamlessly integrates with pre-existing infrastructure, requiring minimal additional hardware or upgrades. Furthermore, its adaptability to various intersection layouts and traffic conditions ensures versatile applicability. Through collaborative partnerships with municipalities and transportation authorities, our solution aims to achieve widespread implementation, thereby enhancing emergency response capabilities and safeguarding the safety and well-being of individuals within our communities.
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How To Cite (APA)
Aditya Pawar & Yogesh Sutar (March-2024). AI Based Emergency Vehicles Detecting and Traffic Controlling System. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), d10-d17. https://ijnrd.org/papers/IJNRD2403303.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : d10-d17
Other Publication Details
Paper Reg. ID: IJNRD_215635
Published Paper Id: IJNRD2403303
Downloads: 000121966
Research Area: Computer EngineeringÂ
Country: Solapur, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403303.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403303
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.
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Current Issue: Volume 10 | Issue 9 | September 2025
Impact Factor: 8.76
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