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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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Impact Factor : 8.14
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| Paper Title: | AI POWERED TRAFFIC SIGNALLING SYSTEM |
| Authors Name: | Mr.Holge Arjun Ganesh , Mr. Bendkule Vikas Bhimaji , Mr.Teltumbade Ayush Raju , Mr. Sayyad Juber Ejaj , Prof Habib Adnan Abdulla |
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IJRTI_206502
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| Published Paper Id: | IJRTI2509143 |
| Published In: | Volume 10 Issue 9, September-2025 |
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| Abstract: | Traffic management is one of the biggest challenges in today’s cities. Traditional traffic lights work on fixed timers and do not consider the actual number of vehicles on the road. This often results in long waiting times, fuel wastage, and increased air pollution. To solve this problem, we propose an AI Powered Traffic Signaling System that can control signals based on real-time traffic conditions .In this project, cameras are installed at traffic junctions to capture live video. Using Artificial Intelligence (AI) and Computer Vision techniques, the system can detect and count the number of vehicles in each lane. Based on the traffic density, the system automatically decides how much green signal time should be given to each road. This makes the traffic flow smoother and reduces unnecessary delays. The system uses Raspberry Pi or Jetson Nano as a controller, along with AI models like YOLO (You Only Look Once) for vehicle detection. A dashboard is also provided to monitor live traffic and allow manual control when needed. The system is designed to be safe, efficient, and adaptive. The expected results of this project are reduced waiting time for vehicles, better traffic flow at busy junctions, lower fuel consumption, and less pollution. This system can also be integrated with Smart City projects in the future |
| Keywords: | Artificial Intelligence (AI), Traffic Management, Smart Traffic Signal, Vehicle Detection, Computer Vision, YOLO, Raspberry Pi, Jetson Nano, Machine Learning, Real-Time Monitoring, Adaptive Signal Control, Smart City. |
| Cite Article: | "AI POWERED TRAFFIC SIGNALLING SYSTEM", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 9, page no.b333-b337, September-2025, Available :http://www.ijrti.org/papers/IJRTI2509143.pdf |
| Downloads: | 000265 |
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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: IJRTI2509143
Registration ID:206502
Published In: Volume 10 Issue 9, September-2025
DOI (Digital Object Identifier):
Page No: b333-b337 Country: yeola, maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2509143 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2509143 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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