Offset control of traffic signal using cellular automaton traffic model

Chengyou Cui, Zhanglian Kui, HeeHyol Lee, Zhezhi Jin

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This paper deals with an offset control of traffic signals using a cellular automaton traffic model. A stochastic optimal control method for distributed traffic signals is modified to achieve coordinated traffic signal control with the proposed offset control method. In the proposed coordinated traffic signal control method, splits of each cycle and common cycle length are calculated using a modified stochastic optimal control method, and then the offset is calculated using an estimation method based on a modified CA traffic model at intervals. Also, simulations are carried out at multiple intersections using a micro traffic simulator. The effectiveness of the proposed coordinated control method is proved by comparing with other traffic signal control methods such as pre-timed signal control, two types of the traditional coordinated control and distributed control.

Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalArtificial Life and Robotics
DOIs
Publication statusAccepted/In press - 2017 Mar 16

Fingerprint

Traffic signals
Cellular automata
Simulators

Keywords

  • Cellular automaton traffic model
  • Coordinated traffic signal
  • Offset
  • Particle swarm optimization
  • Stochastic optimal control

ASJC Scopus subject areas

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

Cite this

Offset control of traffic signal using cellular automaton traffic model. / Cui, Chengyou; Kui, Zhanglian; Lee, HeeHyol; Jin, Zhezhi.

In: Artificial Life and Robotics, 16.03.2017, p. 1-8.

Research output: Contribution to journalArticle

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