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Autonomous Traffic Signal Control using Decision Tree

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 3 (2018)

DOI
10.11591/ijece.v8i3.pp1522-1529
ISSN
2088-8708, 2088-8708
Published
2018-06-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

The objective of this paper is to introduce an effective and efficient way of traffic signal light control to optimize the traffic signal duration across each lanes and thereby, to minimize or completely eliminate traffic congestion. This paper introduces a new approach to resolve the traffic congestion problem at junctions by making use of decision trees. The vehicle count in the real time traffic video is determined by Image Processing technique. This information is fed to the decision tree based on which the decision is made regarding the status of traffic signal lights of each lane at the junction at any given instant of time.

Collaboration network of the authors

7 authors · 9 co-authorship links · 2 across different organisations

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

  • R.V. College of Engineering
  • Visvesvaraya Technological University
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Amit N. SubrahmanyaR.V. College of Engineering1
Allbright D’SouzaR.V. College of Engineering1
Kamenahalli Chandre Gowda GanashreeVisvesvaraya Technological University1
R HemavathyVisvesvaraya Technological University1

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.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Autonomous Traffic Signal Control using  Decision Tree</dc:title><dc:creator>R N, Rithesh</dc:creator><dc:creator>R., Vignesh</dc:creator><dc:creator>M. R., Anala</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;p class="normal"&amp;gt;The objective of this paper is to introduce an effective and efficient way of traffic signal light control to optimize the traffic signal duration across each lanes and thereby, to minimize or completely eliminate traffic congestion. This paper introduces a new approach to resolve the traffic congestion problem at junctions by making use of decision trees. The vehicle count in the real time traffic video is determined by Image Processing technique. This information is fed to the decision tree based on which the decision is made regarding the status of traffic signal lights of each lane at the junction at any given instant of time.&amp;lt;/p&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2018-06-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v8i3.pp1522-1529</dc:identifier><dc:identifier>10.11591/ijece.v8i3.pp1522-1529</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 8 No 3 (2018); 1522</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/9395/8694</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>