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Real Time Traffic Density Count using Image Processing

Author(s):

Gote Yogita Ram , K.S.I.E.T,HINGOLI; Prof. A. L. Korade, K.S.I.E.T,HINGOLI

Keywords:

Image Processing, Edge Detection, Traffic Congestion Detection, Intelligent Traffic Control System

Abstract

Traffic congestion are very common now a days because of increasing number of vehicles. Traffic jam are also common an insufficient road are also one reason for traffic congestion. There is one solution for traffic problem is to develop intelligent traffic control system which is based on the measurement of traffic density on road using real time video and image processing technique. This paper describe a method of real time area based traffic density estimation using image processing for intelligent traffic control system.in this paper we describe the algorithm to describe the number of vehicles on the road. The algorithm works on the result of comparing the real time frame of live video by the reference image and by searching vehicles only in the region of interest. The main contribution of this research lies in the development of new technique that detect traffic density to the area. This research will be used for the detection of traffic density for intelligent traffic control system.

Other Details

Paper ID: IJSRDV5I70166
Published in: Volume : 5, Issue : 7
Publication Date: 01/10/2017
Page(s): 301-305

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