Traffic signal control for a multi-forked road

Chengyou Cui, Mizuki Takamura, HeeHyol Lee

Research output: Contribution to journalArticle

Abstract

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
Volume16
Issue number2
DOIs
Publication statusPublished - 2011 Sep

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Traffic signals
Simulators
Genetic Techniques
Cellular automata
Stochastic models
Genetic algorithms
Control systems

Keywords

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

ASJC Scopus subject areas

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

Cite this

Traffic signal control for a multi-forked road. / Cui, Chengyou; Takamura, Mizuki; Lee, HeeHyol.

In: Artificial Life and Robotics, Vol. 16, No. 2, 09.2011, p. 253-257.

Research output: Contribution to journalArticle

Cui, Chengyou ; Takamura, Mizuki ; Lee, HeeHyol. / Traffic signal control for a multi-forked road. In: Artificial Life and Robotics. 2011 ; Vol. 16, No. 2. pp. 253-257.
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