Annual Research Conference of SLIIT CITY UNI [ARCSCU]

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The Annual Research Conference of SLIIT City Uni (ARCSCU), organized by the academic departments of SLIIT City Uni, which provides a dynamic platform for undergraduate and postgraduate researchers, scholars, and professionals to share their work, engage in academic discourse, and foster innovation. With a focus on encouraging student participation, the conference features paper presentations, poster sessions, interactive workshops, and publication of selected research in conference proceedings

https://arcscu.sliitcityuni.lk

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Author: search.filters.author.Benorith, LSubject: search.filters.subject.Emergency Vehicle Detection

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    PublicationOpen Access
    AI-Based Smart Traffic Management System for Emergency Vehicles
    (SLIIT City UNI, 2025-07-08) Amarasinghe, D P S V; Benorith, L
    Modern cities' main traffic congestion problem delays emergency vehicles like ambulances and firetrucks and police cars where every second counts. Fixed signal traditional traffic systems lack real-time adaptability, hence delays and risks are raised. This paper suggests an AI-driven smart traffic management system to priorities emergency vehicles and enhance general traffic flow by means of Raspberry Pi, YOLOv8, and OpenCV. Strategically positioned cameras provide video to a Raspberry Pi, which detects emergency vehicles by using OpenCV and YOLOv8. Dynamic control of traffic lights on detection helps to clear the path, so reducing response times and improving safety. The technology also maximizes road use and helps to ease traffic. For cities with limited infrastructure, using reasonably priced, open-source tools are scalable and ideal.