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Jurnal SINTA 2

BEAGLEBOARD EMBEDDED SYSTEM FOR ADAPTIVE TRAFFIC LIGHT CONTROL SYSTEM WITH CAMERA SENSOR

Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 5 No. 2 (2012) · pp. 63–71

DOI
10.21609/jiki.v5i2.190
ISSN
2502-9274, 2088-7051
Published
2012-07-29
Publisher
Faculty of Computer Science - Universitas Indonesia
Language
eng

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 people’s 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. Lalu intas adalah salah satu aspek yang paling penting dalam kehidupan sehari-hari manusia karena lalu lintas memengaruhi kelancaran arus modal, logistik, dan kegiatan masyarakat lainnya. Tanpa sistem kontrol lampu lalu lintas yang memadai, kemungkinan kemacetan lalu lintas akan sangat tinggi dan menghambat kehidupan masyarakat di perkotaan. Sistem kontrol lampu lalu lintas adaptif dapat digunakan untuk memecahkan kemacetan lalu lintas di persimpangan karena dapat mengubah durasi lampu hijau di setiap persimpangan jalan tergantung pada kepadatan lalu lintas. Prototipe sistem kontrol lampu lalu lintas menggunakan BeagleBoard-XM, kamera CCTV, dan mikrokontroler AVR. Peneliti menggunakan teknik computer vision untuk mendapatkan informasi tentang kepadatan lalu lintas dengan menggabungkan metode Viola-Jones dan metode Filter Kalman. Untuk menghitung waktu setiap lampu lalu lintas di persimpangan, peneliti menggunakan Distributed Constraint Satisfaction Problem (DCSP). Dari hasil implementasi dan percobaan dapat disimpulkan bahwa BeagleBoard-XM dapat digunakan sebagai mesin utama sistem kontrol lampu lalu lintas adaptif dengan tingkat akurasi penghitungan rata-rata sebesar 91.735%.

Keywords

Collaboration network of the authors

35 authors · 83 co-authorship links · 46 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • University of Indonesia
  • Diponegoro University
  • Universitas Negeri Surabaya
  • University of Edinburgh
  • Binus University
  • Tarumanagara University
  • Pelita Harapan University
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Elly Matul ImahUniversitas Negeri Surabaya3
Dwi Marhaendro Jati PurnomoUniversity of Indonesia3
Alexander Agung Santoso GunawanBinus University2
Arie Rachmad SyulistyoPoliteknik Negeri Malang2
BudiantoUniversity of Indonesia1
LasguidoUniversity of Indonesia1
Fahry FathurrahmanUniversity of Indonesia1
Arief RamadhanUniversity of Indonesia1
Muhammad Eka SuryanaUniversity of Indonesia1
Big ZamanUniversity of Indonesia1
Ratna RustamadjiUniversity of Indonesia1
Miesje Karmiati PurwanegaraUniversity of Indonesia1
Sani Muhammad IsaTarumanagara University1
Benny HardjonoPelita Harapan University1
Diane FitriaUniversity of Indonesia1
Sumarsih Condroayu PurbaraniUniversity of Indonesia1
Qurrotin Aâ€TMyuninaUniversity of Indonesia1
Muhammad Anwar Maâ€TMsumUniversity of Indonesia1
Novian HabibieUniversity of Indonesia1
Machmud Roby AlhamidiUniversity of Indonesia1
Dewa Made Sri ArsaUniversity of Indonesia1
Grafika JatiUniversity of Indonesia1
Agung SantosoUniversity of Indonesia1
Rafli FilanoUniversity of Indonesia1
Nurul HanifahUniversity of Indonesia1
Indra WaspadaDiponegoro University1
Noel Segura MerazNagoya University1
Zumrotun NafisahUniversitas Negeri Surabaya1
Kusworo AdiDiponegoro University1
Naufal BudimanAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://jiki.cs.ui.ac.id/index.php/jiki/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">BEAGLEBOARD EMBEDDED SYSTEM FOR ADAPTIVE TRAFFIC LIGHT CONTROL SYSTEM WITH CAMERA SENSOR</dc:title>
	<dc:creator>Rachmadi, Muhammad Febrian</dc:creator>
	<dc:creator>Afif, F Al</dc:creator>
	<dc:creator>Ma'sum, M Anwar</dc:creator>
	<dc:creator>Fajar, M</dc:creator>
	<dc:creator>Wibowo, A</dc:creator>
	<dc:subject xml:lang="en-US">avr microcontroller</dc:subject>
	<dc:subject xml:lang="en-US">beagleboard</dc:subject>
	<dc:subject xml:lang="en-US">distributed constraint satisfaction problem</dc:subject>
	<dc:subject xml:lang="en-US">embedded system</dc:subject>
	<dc:subject xml:lang="en-US">sistem kontrol lalu lintas</dc:subject>
	<dc:subject xml:lang="en-US">traffic control system</dc:subject>
	<dc:description xml:lang="en-US">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 people’s 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. 

Lalu intas adalah salah satu aspek yang paling penting dalam kehidupan sehari-hari manusia karena lalu lintas memengaruhi kelancaran arus modal, logistik, dan kegiatan masyarakat lainnya. Tanpa sistem kontrol lampu lalu lintas yang memadai, kemungkinan kemacetan lalu lintas akan sangat tinggi dan menghambat kehidupan masyarakat di perkotaan. Sistem kontrol lampu lalu lintas adaptif dapat digunakan untuk memecahkan kemacetan lalu lintas di persimpangan karena dapat mengubah durasi lampu hijau di setiap persimpangan jalan tergantung pada kepadatan lalu lintas. Prototipe sistem kontrol lampu lalu lintas menggunakan BeagleBoard-XM, kamera CCTV, dan mikrokontroler AVR. Peneliti menggunakan teknik computer vision untuk mendapatkan informasi tentang kepadatan lalu lintas dengan menggabungkan metode Viola-Jones dan metode Filter Kalman. Untuk menghitung waktu setiap lampu lalu lintas di persimpangan, peneliti menggunakan Distributed Constraint Satisfaction Problem (DCSP). Dari hasil implementasi dan percobaan dapat disimpulkan bahwa BeagleBoard-XM dapat digunakan sebagai mesin utama sistem kontrol lampu lalu lintas adaptif dengan tingkat akurasi penghitungan rata-rata sebesar 91.735%.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Computer Science  - Universitas Indonesia</dc:publisher>
	<dc:date>2012-07-29</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/190</dc:identifier>
	<dc:identifier>10.21609/jiki.v5i2.190</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmu Komputer dan Informasi; Vol. 5 No. 2 (2012): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information); 63-71</dc:source>
	<dc:source>2502-9274</dc:source>
	<dc:source>2088-7051</dc:source>
	<dc:source>10.21609/jiki.v5i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/190/289</dc:relation>
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