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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM54359
Volume:
9 |
11 |
Nov 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Big cities are growing fast, and traffic jams just keep getting worse. Rigid, fixed-time traffic lights don’t stand a chance against the chaos on the roads. That’s where this research steps in. We introduce an Adaptive Traffic Signal System—let’s call it ADTSS—that actually pays attention to what’s happening out there. Using computer vision and deep learning, the system watches live CCTV feeds. A YOLO-based detector spots and counts vehicles in real time. Then, the system looks at each lane’s vehicle density and adjusts the green-light timing on the fly, so traffic keeps moving where it needs to most. It works smoothly with existing traffic controllers, and there’s a live dashboard for monitoring everything as it happens. Tests and simulations show ADTSS cuts down waiting times, slashes pointless idling, and keeps traffic flowing better overall. Honestly, it’s a strong fit for smart cities looking to manage their traffic more intelligently in the real world.
KEYWORDS
Publication Date
11/24/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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