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Real-Time Traffic Control System using Fuzzy Logic based Edge Detector for Images

by Sreemana Datta, Joydeep Mukherjee
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Number 14
Year of Publication: 2015
Authors: Sreemana Datta, Joydeep Mukherjee
10.5120/21137-4129

Sreemana Datta, Joydeep Mukherjee . Real-Time Traffic Control System using Fuzzy Logic based Edge Detector for Images. International Journal of Computer Applications. 119, 14 ( June 2015), 26-32. DOI=10.5120/21137-4129

@article{ 10.5120/21137-4129,
author = { Sreemana Datta, Joydeep Mukherjee },
title = { Real-Time Traffic Control System using Fuzzy Logic based Edge Detector for Images },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 14 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 26-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number14/21137-4129/ },
doi = { 10.5120/21137-4129 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:04:03.795617+05:30
%A Sreemana Datta
%A Joydeep Mukherjee
%T Real-Time Traffic Control System using Fuzzy Logic based Edge Detector for Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 14
%P 26-32
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the rising traffic congestion, an efficient method to control traffic and ensuring proper signalling has become very important. A number of methods are used worldwide to control and signal road traffic. We propose a method based on image processing to determine the density of vehicles on a particular lane of a road and control the signal accordingly. For each road crossing, screenshots will be taken from live feeds to determine the traffic density of a road and then based on an efficient fuzzy logic based edge detector; a comparative analysis of traffic density will be performed. Traffic signalling will be done so as to ensure that the busiest road gets the green signal at the earliest and for the longest duration. The second busiest road will get the green signal next and for a lesser duration. Signalling of other roads will be done accordingly. We have utilised a fuzzy rule based edge detection algorithm which is accurate and efficient.

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Index Terms

Computer Science
Information Sciences

Keywords

Edge Detection Sliding Window Based Detector Fuzzy logic Traffic Control Fuzzy Sets.

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