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

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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.

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Authors and Affiliations

  1. YanBian University, Yanji, China

    Chengyou Cui & Jizhe Cui

  2. WASEDA University, Shinjuku, Japan

    Heehyol Lee

Authors
  1. Chengyou Cui
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  2. Jizhe Cui
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  3. Heehyol Lee
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Corresponding author

Correspondence to Chengyou Cui.

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Cite this article

Cui, C., Cui, J. & Lee, H. Real-time stochastic optimal control for traffic signals of multiple intersections. Artif Life Robotics 19, 142–149 (2014). https://doi.org/10.1007/s10015-014-0151-3

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  • DOI: https://doi.org/10.1007/s10015-014-0151-3

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