Automatic Signal Scheduling For Efficient Traffic Management
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 1
Abstract
Traffic congestion is one of the major problem in today’s world, which is need to be solved to improve traffic control and management. Vehicle flow detection appears to be an important part in today’s traffic management system. The traffic flow shows the traffic state in fixed time interval and helps to manage and control the traffic especially when there is a traffic jam. In this project, we propose an automatic traffic management system for vehicle detection and counting and automatic signal scheduling. The camera supplies video input to the processing engine. Processing engine will implement BLOB algorithm for vehicle detection and counting which will thereby schedule the signal timer accordingly. In case of emergency vehicles, ORB algorithm will be implemented so as to give them higher priority. In case of violation of traffic rules, the image of that particular vehicle will be captured and sent to the admin. This system is a real time application.
Authors and Affiliations
Gayatri Milind Kaninde, Haseena Shamim Shaikh, Sayali Prakash Jadhav, Shweta Sanjay Chavan
Keywords
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- EP ID EP21561
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