Title :
Adaptive traffic signal control system using camera sensor and embedded system
Author :
Rachmadi, M. Febrian ; Afif, Faris Al ; Jatmiko, Wisnu ; Mursanto, Petrus ; Manggala, E.A. ; Ma´sum, M. Anwar ; Wibowo, Adi
Author_Institution :
Fac. of Comput. Sci., Univ. Indonesia, Depok, Indonesia
Abstract :
Adaptive traffic signal control system is needed to avoid traffic congestion that has many disadvantages. This paper presents an adaptive traffic signal control system using camera as an input sensor that providing real-time traffic data. Principal Component Analysis (PCA) is used to analyze and to classify object on video frame for detecting vehicles. Distributed Constraint Satisfaction Problem (DCSP) method determine the duration of each traffic signal, based on counted number of vehicles at each lane. The system is implemented in embedded systems using BeagleBoard™.
Keywords :
adaptive control; constraint satisfaction problems; control engineering computing; embedded systems; image classification; image sensors; object detection; principal component analysis; road traffic control; traffic engineering computing; BeagleBoard; adaptive traffic signal control system; camera sensor; distributed constraint satisfaction problem method; embedded system; object classification; principal component analysis; real-time traffic data; traffic congestion avoidance; vehicle detection; video frame; Adaptive systems; Cameras; Control systems; Meteorology; Principal component analysis; Roads; Vehicles; Distributed Constraint Satisfaction Problem; Principal Component Analysis; Traffic Signal Control System; Vehicle Counting; Vehicle Detection;
Conference_Titel :
TENCON 2011 - 2011 IEEE Region 10 Conference
Conference_Location :
Bali
Print_ISBN :
978-1-4577-0256-3
DOI :
10.1109/TENCON.2011.6129009
