Proposed traffic light control mechanism based on multi-agent coordination

Satoshi Kurihara, Ryo Ogawa, Kosuke Shinoda, Hirohiko Suwa

Research output: Contribution to journalArticlepeer-review

Abstract

Traffic congestion is a serious problem for people living in urban areas, causing social problems such as time loss, economical loss, and environmental pollution. Therefore, we propose a multi-agent-based traffic light control framework for intelligent transport systems. Achieving consistent traffic flow necessitates the real-time adaptive coordination of traffic lights; however, many conventional approaches are of the centralized control type and do not have this feature. Our multi-agent-based control framework combines both indirect and direct coordination. Reaction to dv- namic traffic flow is attained by indirect coordination, whereas green-wave formation, which is a systematic traffic flow control strategy involving several traffic lights, is attained by direct coordination. We present the detailed mechanism of our framework and verify its effectiveness using simulation to carry out a comparative evaluation.

Original languageEnglish
Pages (from-to)803-812
Number of pages10
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Volume20
Issue number5
DOIs
Publication statusPublished - 2016 Sep
Externally publishedYes

Keywords

  • Direct coordination
  • Green wave
  • ITS
  • Indirect coordination
  • Multiagent

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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