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Stochastic optimal control for traffic signals of asymmetrical intersection

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Abstract

In this paper, a real time stochastic optimal control method for traffic signals of asymmetrical intersection is proposed. A modified cellular automaton (CA) traffic model and Bayesian network (BN) model are used to predict the traffic jams. Here, the calculation for priori probabilistic of outflows at different traffic signals is modified based on the actual situation. In addition, PSO algorithm is used to search optimal traffic signals based on the stochastic model. Finally, the effectiveness of the proposed method is shown through simulations at an asymmetrical intersection using a micro-traffic simulator.

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Acknowledgments

This work was supported by “National Natural Science Foundation of China (Grant No. 71461026)” and “Science and Technology Development Plan of Yanbian University (No. 602014072)”.

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Authors and Affiliations

  1. Yanbian University, Yanji, China

    Chengyou Cui & Chengzhe Xu

  2. Waseda University, Tokyo, Japan

    Heehyol Lee

Authors
  1. Chengyou Cui
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  2. Heehyol Lee
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  3. Chengzhe Xu
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Corresponding authors

Correspondence to Chengyou Cui or Chengzhe Xu.

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Cite this article

Cui, C., Lee, H. & Xu, C. Stochastic optimal control for traffic signals of asymmetrical intersection. Artif Life Robotics 20, 190–195 (2015). https://doi.org/10.1007/s10015-015-0211-3

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  • DOI: https://doi.org/10.1007/s10015-015-0211-3

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