The Use of Background Subtraction Method in Model Design of Traffic Light Timer Control System

Abstract

Traffic jam caused many problems, one of which, causing time wasting and increasing fuel consumption of user’s vehicle. One of the solutions offered to solve traffic jam is a control system named traffic light timer. It is a traffic management system in each spot of the road done by minimizing the waiting time of the rider during the jam. This research built traffic light timer controller model based on image processing by using Background Subtraction method. The object captured on the road will be processed using Background Subtraction method, the results then show the situation of the road as the parameters of quiet, medium, and heavy roads. The images are then forwarded to the traffic light timer control system to be processed using the hardware and software used in the research. The results show that the Traffic light timer control system is able to classify the heaviness of vehicles queue, to control the timer, and the lights of the traffic light automatically based on the queue of the vehicles with time processing around 2 seconds.