Paper Title

SIGNAL SENSOR FOR EMERGENCY VEHICLE SIREN RECOGNITION

Article Identifiers

Registration ID: IJNRD_216839

Published ID: IJNRD2404098

DOI: Click Here to Get

Authors

Vulli Geetanjali , Vantaku Hemalatha , Bothsa Nagaraju , Devadi Siva Ganesh , Desilla Yogeswararao,B.VARA

Keywords

Keywords for the given abstract could include: - Traffic congestion - Densely populated countries - India - China - Microcontroller - Arduino Uno - Traffic lights - Automated control system - Emergency vehicles - MATLAB - Signal detection - Sirens - Traffic management - Emergency response - Urban areas - Efficiency

Abstract

This project focuses on addressing traffic congestion in densely populated countries like India and China by using a microcontroller (Arduino Uno) to control traffic lights and implementing an automated control system for emergency vehicles. The system uses pre- programmed MATLAB software to detect signals (sirens) from emergency vehicles and adjust traffic lights to prioritize their passage. This approach aims to improve the efficiency of traffic management and emergency response in congested urban areas.

How To Cite (APA)

Vulli Geetanjali, Vantaku Hemalatha, Bothsa Nagaraju, Devadi Siva Ganesh, & Desilla Yogeswararao,B.VARA (April-2024). SIGNAL SENSOR FOR EMERGENCY VEHICLE SIREN RECOGNITION. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), a809-a813. https://ijnrd.org/papers/IJNRD2404098.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : a809-a813

Other Publication Details

Paper Reg. ID: IJNRD_216839

Published Paper Id: IJNRD2404098

Downloads: 000121985

Research Area: Computer Engineering 

Country: Anakapalli, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404098.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404098

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

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.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

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How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

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