Intelligent traffic management system for cross section of roads using computer vision

This paper includes the design and implementation of an intelligent and automated traffic control system which takes advantages of computer vision and image processing techniques. Along with conventional computer vision techniques, this paper introduces two new methods which has low processing cost. One of the methods has been constructed with the help of hardware and the other one is designed without hardware support. This is a complete traffic management system which has been able to reduce traffic jams and congestion on simulated environment. It detects the number of vehicles on each road and depending on the vehicles load on each road, this system assigns optimized amount of waiting time (red signal light) and running time (green signal light). This system is a fully automated system that can replace the conventional pre-determined fixed-time based traffic system with a dynamically managed traffic system. It can also detect vehicle condition on road and auto-adjust the system according to the changing road conditions which makes the system intelligent. The designed system can help solving traffic problems in busy cities to a great extent by saving a significant amount of man-hours that get lost waiting on jammed roads. This research focuses on factors, low-cost image processing and traffic load balancing.