Traffic signal control for a multi-forked road

Chengyou Cui*, Mizuki Takamura, Heehyol Lee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Traffic jams have become very serious at multiforked road intersections, and conventional pre-timed controls are less effective in such situations. In this article, a new traffic signal control system for multi-forked roads is proposed. First, the cellular automaton (CA) model is used to develop a traffic simulator for multi-forked roads. Next, a stochastic model of a traffic jam is built up. In addition, a new traffic signal control algorithm is designed using the optimization technique and a genetic algorithm (GA). Finally, the effectiveness of the proposed method is shown using actual traffic data with a traffic simulator.

Original languageEnglish
Pages (from-to)253-257
Number of pages5
JournalArtificial Life and Robotics
Issue number2
Publication statusPublished - 2011 Sept 1


  • Bayesian network (BN)
  • Cellular automaton (CA)
  • Genetic algorithm (GA)
  • Multi-forked
  • Traffic signal control
  • Urban microtraffic simulator

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Artificial Intelligence


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