Dynamic Traffic Management Using YOLO |
Author(s): |
| Swarit Wadhe , Shri Vaishnav Vidyapeeth Vishwavidyalaya; Melvin Mathew, Shri Vaishnav Vidyapeeth Vishwavidyalaya; Harsh Gupta, Shri Vaishnav Vidyapeeth Vishwavidyalaya |
Keywords: |
| Machine Learning, Object Detection, Traffic Analysis, Traffic Control, YOLO |
Abstract |
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This study aims to solve traffic congestion which is a severe problem in today's generation. To solve this problem, we have a framework for a dynamic traffic light control system. Currently, the model implemented is one, in which every traffic signal is provided with a static green light time, and total time is fixed for a particular junction to complete its traffic cycle. We are proposing a dynamic time-based traffic signal implementation where an optimized green signal time is assigned, for each lane of the intersection. In this research, we will take input from the Video Capturing Camera of Vehicles/Subject and process them through the AI Model and give the output through traffic signals. |
Other Details |
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Paper ID: IJSRDV10I10005 Published in: Volume : 10, Issue : 1 Publication Date: 01/04/2022 Page(s): 100-103 |
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