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Published Paper Details:
Paper Title
Analysis of accident prevention and avoidance of congestion using machine learning
Authors
Spoorthi S N, Nisarga R, Namitha H N, Shivakumara B K, Monika M
Keywords
Arduino UNO,USB Webcamera,IR densor,LCD Display,Python,Haar cascade classifier
Abstract
The Dynamic Traffic Allotment Module uses a laptop-powered computer vision system to count vehicles in real-time from four traffic lanes. Using the Haar Cascade classifier for vehicle detection, the system calculates the traffic density on each road. It then dynamically allocates the green signal time from a fixed cycle time of 120 seconds, proportional to the density of vehicles on each lane, ensuring optimal traffic flow. The Accident Notification Module employs an IR sensor-based mechanism. IR transmitters are embedded in the road, and a receiver is mounted on a dummy car model. When an "accident" is simulated (i.e., the car stops over a transmitter), the IR link is established, triggering an alert on an LCD and a buzzer inside the car model.
IJCRT's Publication Details
Unique Identification Number - IJCRT2510796
Paper ID - 295489
Page Number(s) - g831-g835
Pubished in - Volume 13 | Issue 10 | October 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Spoorthi S N, Nisarga R, Namitha H N, Shivakumara B K, Monika M, "Analysis of accident prevention and avoidance of congestion using machine learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 10, pp.g831-g835, October 2025, Available at :http://www.ijcrt.org/papers/IJCRT2510796.pdf
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Volume 14 | Issue 2
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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