Traffic control by digital imaging cameras - Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition - page 201

8.2 Future Work
This code was implemented using image processing in MATLAB, It can be implemented by
using SCILAB which have the required toolboxes, and it is free to use which can also be used
in LINUX and for which reduce the cost even more sine it is an open source, but SCILAB is
harder to deal with rather than MATLAB.
The same approach that was used in this project can be used to detect the traffic congestion
in a street and therefore control the traffic light signaling depending on the numbers of cars in
the street, which can reduce the congestion on the streets.
References
[1] Jamal R, Manna K, Rabee M, Khalaf L. Traffic control by digital imaging cameras. In:
IPCV'14, The 2014 World congress in computer science, computer engineering, and
applied computing (WORLDCOMP'14), Las Vegas, USA; 2014.
[2] Reting R, Ferguson S, Hakkert A. Efects of red light cameras on violations and
crashes—a review of the international literature. Traffic Inj Prev. 2003;4(1):17-23.
[3] Dailey DJ, Li L. 'Video image processing to create a speed sensor. Research Report,
University of Washington; April 2000.
[4] Peter Clack. World-first digital camera to nab red light runners; November 26, 2000.
[5] Ralph Gillman. Office of highway policy information.
[6] htp://www.mountain-plains.org/pubs/html/mpc-04-166/pg1.php ; May, 2012.
[7] Matlab tutorial fundamental programming. htp://in.mathworks.com/help/pdf_doc/
matlab/matlab_prog.pdf retrieved; Nov. 18, 2014.
IPCV paper: Traffic Control by Digital Imaging Cameras.