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

fYear

2011

fDate

21-24 Nov. 2011

Firstpage

1261

Lastpage

1265

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;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2011 - 2011 IEEE Region 10 Conference

Conference_Location

Bali

ISSN

2159-3442

Print_ISBN

978-1-4577-0256-3

Type

conf

DOI

10.1109/TENCON.2011.6129009

Filename

6129009