By Topic

Video Based Effective Density Measurement for Wireless Traffic Control Application

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ruddaba Awan ; Department of Software Engineering, Fatima Jinnah Women University, Rawalpindi. ; Fatima Rani

In many countries, transport system basically works on the static scenario. There is a fix duration for which the red & green signals used to open and close and it remains same for almost all times of day whether the roads have heavy traffic or low. There is no real time timing calculation. Because of this situation the traffic is not so properly adjusted and handled on the roads. We have developed a new and relatively easier method for image processing of traffic. To monitor traffic flows is not new; this research is examining the integration of digital video and image processing to improve the transport system and try to reduce the traffic jams. A technique has been developed to process the digital data, in real time, to estimate traffic density directly from the video images. The algorithm is capable of detecting vehicles and calculates traffic density, using image processing techniques. We have named the application as "IntelliSig", Intelligent Signals.

Published in:

Emerging Technologies, 2007. ICET 2007. International Conference on

Date of Conference:

12-13 Nov. 2007