Intelligent Traffic Management System
Aug 2011 - Jun 2012
This was the final project of my undergraduate school. It is a simulation of road traffic monitoring signal which can intelligently detect the traffic density in lanes and smartly change the green light for heavy traffic roads. All this was acheived by the Image Processing Technique.
TEAM
Aditya Muckaden
Siddhant Shah
Swapnil Ahirrao
MY ROLES
Lead Programmer
Concept Designer
Technology Researcher
DELIVERABLES
Final Report
Live Demo
PROCESS
After an extensive research on the analysing existing problems and understanding value of Image Processing Technology we began with the following:
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Pitching Idea
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Considering the high density of vehicular traffic observed daily and the difficulty in maintaining it, we pitched this idea to effectively and efficiently control the road traffic.
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Technology Research
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This was to figure out efficient realtime tracking of road traffic and we decided to use full length view cameras instead of sensors
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The idea was to keep the technology so transparent that it would not distract the drivers at all. In order to acheive such transperency we designed an intelligent system which can :
1. Distinguish the presence and absence of the vehicles on the road telling the relative density.
Image acquisition RGB to gray conversion Image enhancement
Image matching using edge detection
2. Control the traffic signal to change the green light time based on the obtained result.
Lesser the % matching more is the vehicular traffic.After taking a survey of daily road travellers to identify an appropriate green light time we decided to go with the following;
If the matching is between 8 to 15% - green light is ON for 60 seconds.
If the matching is between 15 to 24% - green light is ON for 30seconds.
If the matching is above 24% - green light is ON for 15 seconds.
This was the simulation of our intelligent system using microcontrollers and LEDs. The programming was done in MATLAB for image processing and C++ for the microcontrollers and LEDs.
