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Density Based Traffic Signal System Using Image Processing

Authors(4) :-Prof. Vikram Deshmukh, Shruti Pantawane, Sonali Hajare, Anushree Kale

The work is designed to create a density based traffic signal system. The signal timing is programmed to change depending on the density of the traffic density at the junction .As traffic issues are increasing in the cities at major junctions; it has become a nightmare for the commuters. Conventional traffic light system has a fixed time pattern which doesn’t vary as per the current traffic situation at the junction. This project will help sort the problem by capturing and converting the image into gray scale of each lane .threshold value will be calculated which will indicate the number of vehicles present at the particular lane. Denser lane will be given priority and the signal will remain green for longer duration as compared to other lane. The project is based on image processing using MATLAB software and microcontroller AT89S52.
Prof. Vikram Deshmukh, Shruti Pantawane, Sonali Hajare, Anushree Kale
Image Processing, Microcontroller-AT89S52, Density Measurement, Traffic Management System
  1. G Lloyd Singh, M MelbernParthido, R Sudha "Embedded based Implementation: Controlling of Real Time Traffic Light using Image Processing" ((NCACSA 2012) Proceedings published in International Journal of Computer Applications® (IJCA)), 2012
  2. George Law "Quantitative Comparison of Flood Fill and Modified Flood Fill Algorithms" (International Journal of Computer Theory and Engineering,), June 2013
  3. Prof Mrs. Priti Tyagi, Mr. Sandeep Oberoi, Mr.Satish Sonawane, Tejal Rane and Mahip Shrawag"Control of Real Time Traffic with the Help of Image Processing" IRET Transaction on Image Processing (ITIP), April 2014
  4. Naeem Abbas Sir Syed, Mu hammadTayyab Sir Syed, M.TahirQadri, Sir Syed, "Real Time Traffic Density Count using Image Processing" (International Journal of Computer Applications), December 2013
  5. Fahreena Shaikh, Naishataban khan, SaimaZareen Ansari, "Controlling Traffic Light Signals to Implement Traffic Scheduling Using Density Calculation" (ICAET15TR012000), February 2015
  6. SabyasanchiKanojia "Real time light control and congestion avoid system" (IJERA), March-April 2012
  7. Payal Gupta, Dhananjay V. Gadre, Tarun Kumar Rawat "Real Time Traffic Light Control System" (Hardware and Software Implementation), April 2014
  8. R NithinGoutham, J.SharonRoza, M Santhosh, "Intelligent Traffic Signal Control System"(International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering), May 2014
Publication Details
  Published in : Volume 3 | Issue 2 | January-February 2017
  Date of Publication : 2017-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 144-147
Manuscript Number : NCAEAS2334
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
Prof. Vikram Deshmukh, Shruti Pantawane, Sonali Hajare, Anushree Kale, "Density Based Traffic Signal System Using Image Processing", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 2, pp.144-147, January-February-2017
URL : http://ijsrst.com/NCAEAS2334