Traffic flow never remains the same on any given time of the day, varying substantially from morning to evening, generally peaking in the evening office hours. A common man has to face different traffic conditions in his daily routine from nerve racking traffic jams to almost empty roads. The fixed nature of the traffic lights fail to take this in to account and all this leads to increase in waiting time for every vehicle and thus wasting precious time. This increase in waiting time has a cascading effect on fuel consumption too and thereby having severe consequences on the environment. In this article, we shed light on these issues and present a dynamic system that overcomes all these drawbacks. We make use of web cameras mounted on street lights to capture still images of the traffic which then undergo a series of steps related to Image Processing and Image Analysis. Finally, we calculate the traffic volume and operate the traffic light's timer accordingly. All this is automated with negligible scope of human error and a quick response time. The system helps in minimization of several factors like waiting time, fuel consumption and congestion..

This online database contains the full-text of PhD dissertations and Masters ’ theses of University of Windsor students from 1954 forward. These documents are made available for personal study and research purposes only, in accordance with the Canadian Copyright Act and the Creative Commons license—CC BY-NC-ND (Attribution, Non-Commercial, No Derivative Works). Under this license, works must always be attributed to the copyright holder (original author), cannot be used for any commercial purposes, and may not be altered. Any other use would require the permission of the copyright holder. Students may inquire about withdrawing their dissertation and/or thesis from this database. For additional inquiries, please contact the repository administrator via email (scholarship@uwindsor.ca) or by telephone at 519-253-3000ext. 3208.