Advance Traffic Control Management System |
Author(s): |
| Poonam Yewale , keystone school of engineering; Deepti Dhadge, Keystone school of engineering; Poonam Kakade, Keystone school of engineering; Vimala Parangi, Keystone school of enginnering |
Keywords: |
| Advance Transportation System, Traffic Light, Image Processing, Edge Detection, Traffic Density Calculation |
Abstract |
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In this paper we are going to propose a methodology for determining traffic congestion on roads using image processing techniques and a model for controlling traffic signals based on information received from images of vehicle present on the roads taken by video camera. In a video frame instead of calculating number of vehicle we are going to calculate the area occupied by the vehicle on the road in the terms of pixels. Variable traffic cycle and weighted time these two parameters are considered for each road based on density of vehicle and sequence of control traffic lights. |
Other Details |
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Paper ID: IJSRDV5I120167 Published in: Volume : 5, Issue : 12 Publication Date: 01/03/2018 Page(s): 463-465 |
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