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

Chengyou Cui; Jizhe Cui; Heehyol Lee

doi:10.1007/s10015-014-0151-3

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

Chengyou Cui^*, Jizhe Cui, Heehyol Lee

^*Corresponding author for this work

Graduate School of Information, Production and Systems

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

2 Citations (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 language	English
Pages (from-to)	142-149
Number of pages	8
Journal	Artificial Life and Robotics
Volume	19
Issue number	2
DOIs	https://doi.org/10.1007/s10015-014-0151-3
Publication status	Published - 2014 Sept 1

Keywords

H-GA-PSO algorithm
Stochastic optimal control
Traffic signals

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)
Artificial Intelligence

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10.1007/s10015-014-0151-3

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title = "Real-time stochastic optimal control for traffic signals of multiple intersections",

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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AU - Cui, Chengyou

AU - Cui, Jizhe

AU - Lee, Heehyol

PY - 2014/9/1

Y1 - 2014/9/1

N2 - 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.

AB - 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.

KW - H-GA-PSO algorithm

KW - Stochastic optimal control

KW - Traffic signals

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

Abstract

Keywords

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