Real-time stochastic optimal control for traffic signals of multiple intersections

Chengyou Cui, Jizhe Cui, HeeHyol Lee

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this paper, a real-time stochastic optimal control method of traffic signal is modified. In addition, H-GA-PSO algorithm is proposed to search optimal traffic signals based on the stochastic model. The H-GA-PSO algorithm is a modified Hierarchical Particle Swarm Optimization (H-PSO) algorithm based on Genetic Algorithm (GA) processing. Finally, the effectiveness of the stochastic optimal control method with H-GA-PSO algorithm is shown through simulations at multiple intersections using a micro-traffic simulator.

Original languageEnglish
Pages (from-to)142-149
Number of pages8
JournalArtificial Life and Robotics
Volume19
Issue number2
DOIs
Publication statusPublished - 2014 Sep 1

Fingerprint

Traffic signals
Particle swarm optimization (PSO)
Genetic algorithms
Stochastic models
Simulators
Processing

Keywords

  • H-GA-PSO algorithm
  • Stochastic optimal control
  • Traffic signals

ASJC Scopus subject areas

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

Cite this

Real-time stochastic optimal control for traffic signals of multiple intersections. / Cui, Chengyou; Cui, Jizhe; Lee, HeeHyol.

In: Artificial Life and Robotics, Vol. 19, No. 2, 01.09.2014, p. 142-149.

Research output: Contribution to journalArticle

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