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Vehicle Detection Mechanism for Traffic Control using Image Processing : Software Implementation


Parichita Basak , Bharati Vidyapeeth's College of Engineering,New Delhi; Sarita Yadav, Bharai Vidyapeeth?s College of Engineering; Ramandeep Kaur, Bharai Vidyapeeth?s College of Engineering; Ghausia Gulrukh, Bharai Vidyapeeth?s College of Engineering


Traffic Lights, Density, Image Processing, Traffic Management


Population is increasing day by day exponentially. Number of vehicles on road is also increasing which is resulting to high traffic. In India, traffic management is done statically i.e. time delays between switching of red, green and amber lights are fixed irrespective of the density of traffic i.e. number of vehicles on the lane. So, red light ON for a lane less density traffic is same for another lane with high density traffic. This technique is very ineffective in its functionality. So, our work focuses on implementing a dynamic based traffic control using image processing in which time delays between switching of traffic lights is dependent on the number of vehicles. In our proposed system, number of vehicles on a lane is inversely proportional to duration of red light ON. This paper describes the use of image processing as it is more efficient than other techniques which include use of sensors, microprocessors and microcontrollers which is very expensive.

Other Details

Paper ID: IJSRDV4I120141
Published in: Volume : 4, Issue : 12
Publication Date: 01/03/2017
Page(s): 170-173

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