Smart Traffic Signal System using AI, ML, IOT with zero signal for Emergency Vehicle
Paper Title: Smart Traffic Signal System using AI, ML, IOT with zero signal for Emergency Vehicle
Authors Name: Shrishail S. Patil , Sayali Subhash Sonawane , Ashish Gokul Khatode , Rutuja Sanjay Kumbhar , Sandhya Bharat Kokate
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Author Reg. ID: TIJER_151435
Published Paper Id: TIJER2403060
Published In: Volume 11 Issue 3, March-2024
Abstract: In the bustling urban landscapes, the surge in population and automobile usage has transformed traffic congestion into a critical issue. The impact extends beyond mere delays and frayed nerves for drivers; it significantly amplifies fuel consumption and worsens air pollution, painting a grim picture of our current transportation systems. In our pursuit of a solution, we've developed a cutting-edge approach that harnesses the power of Artificial Intelligence (AI), Machine Intelligence (MI), and the Internet of Things (IoT). Recognizing a crucial flaw in the existing setup—emergency vehicles struggling to manpower through congested roadways—we propose a system that promises to be a game-changer. picture this: an emergency vehicle weaving through traffic, unimpeded and without the need for flashing red lights until it's close to its destination. Our proposed system relies on a combination of AI, MI, and IoT to bring about this transformation. It's not just about reducing delays; it's about saving lives and minimizing property loss. To make this vision a reality, we've streamlined the solution into four main devices: CCTV Cameras, Arduino UNO, GPS NEO 6M, and SIM 900A. These elements work in harmony to create a model of a camera-based traffic monitoring and processing system. The uniqueness of our approach lies in its ability to identify emergency vehicles and dynamically adjust traffic signals to facilitate their swift passage.
Keywords: Keywords – Vehicles, Traffic Signals, Emergency Vehicle, Ambulance, GPS, roadways, congestion, automobile
Downloads: 00079
Page No: a457-a462
Country: PUNE, Maharashtra, India
Research Area: Science and Technology
Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJER2403060
Published Paper PDF: https://tijer.org/TIJER/papers/TIJER2403060
ISSN:
2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar| ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER(IJPublication)
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