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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: May 2023

Volume 8 | Issue 5

Impact factor: 8.15

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Paper Title: Smart traffic signal management for detection of emergency vehicles using IoT
Authors Name: Madhusmitha Nayak , Deepthi P , Jagadevi Bakka , Kilari Dhanush , Madan T
Unique Id: IJSDR2305151
Published In: Volume 8 Issue 5, May-2023
Abstract: One of the unavoidable issues of contemporary societies is traffic, which results in unfavorable outcomes like impeding emergency vehicles' access to destinations, wasting time, and increasing the likelihood of accidents. The utilization of Internet of Things (IoT) in managing traffic signals can greatly enhance the flow of traffic and alleviate road congestion. A new method is suggested in this article to identify emergency vehicles and control traffic signals accordingly. To control traffic lights more efficiently, the use of IoT approaches is implemented where sensors such as surveillance cameras capture real-time traffic information for the smart traffic signal management system. To guarantee that emergency vehicles reach their destination with minimal delays, the system is created to provide a clear path.
Keywords: Smart traffic signal management, Internet of Things (IoT), Emergency vehicles, Sensors
Cite Article: "Smart traffic signal management for detection of emergency vehicles using IoT", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.975 - 978, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305151.pdf
Downloads: 000222060
Publication Details: Published Paper ID: IJSDR2305151
Registration ID:206209
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 975 - 978
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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