Area traffic signal optimization based on adaptive PSO with mutation

Lingling Ma; Yaping Dai; Yan Liu; Liang Meng; Zhongjian Dai

Area traffic signal optimization based on adaptive PSO with mutation

Lingling Ma^*, Yaping Dai, Yan Liu, Liang Meng, Zhongjian Dai

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

Research output: Contribution to conference › Paper › peer-review

Abstract

An Adaptive Particle Swarm Optimization (Adaptive PSO) algorithm is presented for traffic signal timing optimization. PSO is used in this paper as a search tool to find the optimal time allocation schemes for phase signal of intersections. Experiment results show that the algorithm proposed in this paper can achieve better optimization effect than Genetic Algorithm.

Original language	English
Publication status	Published - 2009
Event	International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2009 - Tokyo, Japan Duration: 7 Nov 2009 → 7 Nov 2009

Conference

Conference	International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2009
Country/Territory	Japan
City	Tokyo
Period	7/11/09 → 7/11/09

Keywords

Adaptive PSO
Gaussian mutation
Traffic signal control

Cite this

@conference{c5c74ad93a7049219e41fe97349c283f,

title = "Area traffic signal optimization based on adaptive PSO with mutation",

abstract = "An Adaptive Particle Swarm Optimization (Adaptive PSO) algorithm is presented for traffic signal timing optimization. PSO is used in this paper as a search tool to find the optimal time allocation schemes for phase signal of intersections. Experiment results show that the algorithm proposed in this paper can achieve better optimization effect than Genetic Algorithm.",

keywords = "Adaptive PSO, Gaussian mutation, Traffic signal control",

author = "Lingling Ma and Yaping Dai and Yan Liu and Liang Meng and Zhongjian Dai",

year = "2009",

language = "English",

note = "International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2009 ; Conference date: 07-11-2009 Through 07-11-2009",

}

TY - CONF

T1 - Area traffic signal optimization based on adaptive PSO with mutation

AU - Ma, Lingling

AU - Dai, Yaping

AU - Liu, Yan

AU - Meng, Liang

AU - Dai, Zhongjian

PY - 2009

Y1 - 2009

N2 - An Adaptive Particle Swarm Optimization (Adaptive PSO) algorithm is presented for traffic signal timing optimization. PSO is used in this paper as a search tool to find the optimal time allocation schemes for phase signal of intersections. Experiment results show that the algorithm proposed in this paper can achieve better optimization effect than Genetic Algorithm.

AB - An Adaptive Particle Swarm Optimization (Adaptive PSO) algorithm is presented for traffic signal timing optimization. PSO is used in this paper as a search tool to find the optimal time allocation schemes for phase signal of intersections. Experiment results show that the algorithm proposed in this paper can achieve better optimization effect than Genetic Algorithm.

KW - Adaptive PSO

KW - Gaussian mutation

KW - Traffic signal control

UR - http://www.scopus.com/inward/record.url?scp=79960414800&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:79960414800

T2 - International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2009

Y2 - 7 November 2009 through 7 November 2009

ER -

Area traffic signal optimization based on adaptive PSO with mutation

Abstract

Conference

Keywords

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Cite this