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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 doesnít 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
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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