International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Intelligent Traffic Management System Based on Traffic Density

Author(s) Neha Ghawate, Ganesh Biradar, Nikita Kadus, Pradhyoumna Patil, Aditya Tayade
Country India
Abstract Intelligent Traffic Management Systems (ITMS) play a vital role in efficiently managing traffic congestion
in urban areas. This abstract presents an innovative approach to traffic management, specifically focusing
on the priority given to emergency vehicles at traffic signals. By integrating advanced technologies such as
artificial intelligence and real-time communication systems, this system aims to optimize traffic flow while
ensuring the swift passage of emergency vehicles.
The proposed ITMS incorporates a dedicated feature that detects and identifies emergency vehicles
approaching intersections. This is achieved through a combination of specialized sensors, such as acoustic
sensors and GPS- enabled devices, and intelligent algorithms capable of distinguishing emergency vehicle
characteristics from regular traffic patterns.
Keywords Traffic density, Traffic congestion, Real-time data analysis, Road safety, Emergency vehicles, Sensors, Cameras
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 5, Issue 6, November-December 2023
Published On 2023-11-07
Cite This Intelligent Traffic Management System Based on Traffic Density - Neha Ghawate, Ganesh Biradar, Nikita Kadus, Pradhyoumna Patil, Aditya Tayade - IJFMR Volume 5, Issue 6, November-December 2023. DOI 10.36948/ijfmr.2023.v05i06.8511
DOI https://doi.org/10.36948/ijfmr.2023.v05i06.8511
Short DOI https://doi.org/gs38hm
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