Adaptive traffic signal control system using camera sensor and embedded system

M. Febrian Rachmadi, Faris Al Afif, Wisnu Jatmiko, Petrus Mursanto, E. A. Manggala, M. Anwar Ma'sum, Adi Wibowo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

25 Citations (Scopus)

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™.

Original languageEnglish
Title of host publicationTENCON 2011 - 2011 IEEE Region 10 Conference
Subtitle of host publicationTrends and Development in Converging Technology Towards 2020
Pages1261-1265
Number of pages5
DOIs
Publication statusPublished - 1 Dec 2011
Event2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011 - Bali, Indonesia
Duration: 21 Nov 201124 Nov 2011

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON

Conference

Conference2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011
Country/TerritoryIndonesia
CityBali
Period21/11/1124/11/11

Keywords

  • Distributed Constraint Satisfaction Problem
  • Principal Component Analysis
  • Traffic Signal Control System
  • Vehicle Counting
  • Vehicle Detection

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