IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 121

Article Submitted : 24719

Article Published : 9358

Total Authors : 24865

Total Reviewer : 861

Total Countries : 169

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: AI POWER TRAFFIC MANAGEMENT SYSTE,
Authors Name: Jayanth B S , Nithin T M , Punith G
Download E-Certificate: Download
Author Reg. ID:
IJRTI_212379
Published Paper Id: IJRTI2605051
Published In: Volume 11 Issue 5, May-2026
DOI:
Abstract: —Urban intersections increasingly struggle to handle rising traffic levels, particularly when traditional fixed-timer signals fail to respond to real-time conditions. To address this issue, this work proposes an adaptive traffic management system that integrates artificial intelligence with sensor-driven monitoring. A Raspberry Pi processes live camera footage through a YOLObased detection model to identify vehicles and measure lane-wise density, enabling dynamic adjustment of signal timing. Alongside this, an ESP32 unit collects data from ultrasonic and infrared sensors and supports wireless communication for emergencyvehicle prioritization. By combining visual analytics with sensor validation, the system enhances reliability, reduces delays, and ensures rapid clearance for ambulances, offering a practical solution for smart-city environments.
Keywords: –Artificial Intelligence (AI), YOLO, Raspberry Pi, ESP32, Internet of Things (IoT), Smart Traffic Management, Ultrasonic Sensor, IR Sensor, Image Processing, Ambulance Priority Syste I
Cite Article: "AI POWER TRAFFIC MANAGEMENT SYSTE,", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a434-a436, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605051.pdf
Downloads: 000205564
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2605051
Registration ID:212379
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: a434-a436
Country: bengaluru, karnataka, India
Research Area: Electronics & Communication Engg. 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605051
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605051
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner