BEAGLEBOARD EMBEDDED SYSTEM FOR ADAPTIVE TRAFFIC LIGHT CONTROL SYSTEM WITH CAMERA SENSOR
Abstract: Traffic is one of
the most important aspects in human daily life because traffic affects
smoothness of capital flows, logistics, and other community activities. Without
appropriate traffic light control system, possibility of traffic congestion
will be very high and hinder peoples life in urban areas. Adaptive traffic
light control system can be used to solve traffic congestions in an
intersection because it can adaptively change the durations of green light each
lane in an intersection depend on traffic density. The proposed adaptive
traffic light control system prototype uses Beagleboard-xM, CCTV camera, and
AVR microcontrollers. We use computer vision technique to obtain information on
traffic density combining Viola-Jones method with Kalman Filter method. To
calculate traffic light time of each traffic light in intersection, we use
Distributed Constraint Satisfaction Problem (DCSP). From implementations and
experiments results, we conclude that BeagleBoard-xM can be used as main engine
of adaptive traffic light control system with 91.735% average counting rate.
Keywords: avr microcontroller;
beagleboard; distributed constraint satisfaction problem; embedded system;
sistem kontrol lalu lintas; traffic control system
Author: Muhammad Febrian
Rachmadi, F Al Afif, M Anwar Ma'sum, M Fajar, A Wibowo
Journal Code: jptkomputergg120013
