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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
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Issue: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
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| Paper Title: | AI-Based Intelligent Traffic Signal Control System with Real-Time Emergency Vehicle Detection and Violation Enforcement |
| Authors Name: | C T Adarsh , Akshay Pradeep , Lana Rasheed K K , Vishnu K , Dinla O K |
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IJRTI_210452
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| Published Paper Id: | IJRTI2604068 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | Urban intersections increasingly suffer from con- gestion, delayed emergency response, and frequent traffic rule violations, exposing the limitations of fixed-time traffic controllers and manual enforcement. This work presents an AI-based in- telligent traffic signal control system that integrates adaptive signal control, real-time emergency vehicle prioritization, and automated violation detection into a unified framework. A deep reinforcement learning (DRL) agent dynamically adjusts signal phases based on live traffic density, aiming to reduce queue lengths and average waiting time. In parallel, a YOLOv8-based computer vision pipeline detects emergency vehicles and common violations such as red-light jumping and helmetless riding from surveillance video streams, triggering green-corridor creation and automated logging of offender details. The system is prototyped on a four-way intersection model using ESP32-driven signal towers and an overhead camera, enabling real-time closed- loop operation. Experimental evaluation using a custom toy-car dataset and a YOLOv8 backbone achieves 92.6% precision, 94.1% recall, and an mAP@50 of 0.962 for object detection, with inference rates sufficient to sustain 25 fps for intersection- scale monitoring. These results demonstrate the feasibility of low-cost, AI-driven traffic control that simultaneously improves flow efficiency, emergency response, and violation enforcement at urban junctions. |
| Keywords: | Intelligent traffic systems, deep reinforcement learning, YOLOv8, emergency vehicle priority, traffic rule viola- tion detection, ESP32, smart cities |
| Cite Article: | "AI-Based Intelligent Traffic Signal Control System with Real-Time Emergency Vehicle Detection and Violation Enforcement", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.a510-a516, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604068.pdf |
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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 |
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Published Paper ID: IJRTI2604068
Registration ID:210452
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: a510-a516 Country: Kannur, Kerala , India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604068 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604068 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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