Traffic has become a major
problem in all over the world. So most of these countries try find a solution
for urban traffic congestion. As a result of it they found the traffic lights
for roundabout and other places. We think it is a good solution for these
traffic situation. But there also have some problems in traffic lights. The
main problem is these traffic lights are not working for the real time traffic
situation. Because it runs the same programme over, over again. So most of
people try to find a solution for this problem.
As a result of
it Ms.Pallavi Choudekar, Ms.Sayanti Banerjee and prof.M.K.Muju were found a
solution it. They introduced a real time traffic light control using image processing. In this
project they try to achived signal the light to go red if the maximum time for
the green light has elapsed even if there are still vehicals present on the
road. In this project they used a camera to identifie the real traffic
situation.
First they get a
image of the road when there is no traffic on the road. Then do the RGB to gray
conversion and Gamma correction to that image. After that they do the edge
detection to this reference image by using edge detection operator. Then they
captured a image in real time traffic situation by using the camera. RGB to
gray conversion and Gamma correction done
to that image also. After that they do the edge detection to this real time
image.
After edge detection
procedure both reference and real time images are matched and traffic lights
can be controlled based on precentage of matching. In here edge detection
methods locate the pixcels in the image the correspond to the edges of the
objects seen in the image. To edge detection method they used Sobel, Prewitt
and Laplacian operators like common algorithems.
If the matching is
between 0 to 10% - green light is on for 90 seconds. If the matching is between
10% to 50% - green light is on for 60 seconds. If the matching is between 50%
to 70% - green light is on for 30 seconds. If the matching is between 90% to
100% - red light is on for 60 seconds.
I
think this is a good technique to control the state change of the traffic
light. As well as there are some kind of a problem in this technique. The main
problem is the system takes some several time to make a decision. The other
thing is this system can’t use for traffic junction. Overall the system is good
but it still need improvement.
No comments:
Post a Comment