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

Chengyou Cui*, Jizhe Cui, Heehyol Lee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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
Issue number2
Publication statusPublished - 2014 Sept 1


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

ASJC Scopus subject areas

  • General Biochemistry,Genetics and Molecular Biology
  • Artificial Intelligence


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