Stochastic optimal control for traffic signals of asymmetrical intersection

Chengyou Cui; Heehyol Lee; Chengzhe Xu

doi:10.1007/s10015-015-0211-3

Stochastic optimal control for traffic signals of asymmetrical intersection

Chengyou Cui^*, Heehyol Lee, Chengzhe Xu

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages (from-to)	190-195
Number of pages	6
Journal	Artificial Life and Robotics
Volume	20
Issue number	2
DOIs	https://doi.org/10.1007/s10015-015-0211-3
Publication status	Published - 2015 Jul 1

Keywords

Asymmetrical intersection
Stochastic optimal control
Traffic signal

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)
Artificial Intelligence

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10.1007/s10015-015-0211-3

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title = "Stochastic optimal control for traffic signals of asymmetrical intersection",

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.",

keywords = "Asymmetrical intersection, Stochastic optimal control, Traffic signal",

author = "Chengyou Cui and Heehyol Lee and Chengzhe Xu",

note = "Funding Information: 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)”. Publisher Copyright: {\textcopyright} ISAROB 2015.",

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doi = "10.1007/s10015-015-0211-3",

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T1 - Stochastic optimal control for traffic signals of asymmetrical intersection

AU - Cui, Chengyou

AU - Lee, Heehyol

AU - Xu, Chengzhe

N1 - Funding Information: 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)”. Publisher Copyright: © ISAROB 2015.

PY - 2015/7/1

Y1 - 2015/7/1

N2 - 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.

AB - 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.

KW - Asymmetrical intersection

KW - Stochastic optimal control

KW - Traffic signal

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JO - Artificial Life and Robotics

JF - Artificial Life and Robotics

IS - 2

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Stochastic optimal control for traffic signals of asymmetrical intersection

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