Optimization of Train Headway in Moving Block Based on a Particle Swarm Optimization Algorithm

被引：0

作者：

Xu, Ling ^{[1
]}

Zhao, Xia ^{[1
]}

Tao, Yifan ^{[1
]}

Zhang, Qiongyan ^{[2
]}

Liu, Xun ^{[2
]}

机构：

[1] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai, Peoples R China

[2] Ctr Shanghai Shen Tong Metro Grp, Shanghai, Peoples R China

来源：

2014 13TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION (ICARCV) | 2014年

关键词：

headway; trip time; Particle Swarm Optimization; PSO;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Rail transit plays an increasingly important role in the public transportation system, and effectively reducing its headway is of great practical significance. An optimization method is proposed to minimize headway of mainline in moving block by comprehensively considering trip time. A particle swarm optimization (PSO) algorithm is developed to search for optimized points and value of speed limit. The developed model is applied to a particular segment of metro in Shanghai. Simulation results demonstrate that, although there was a mite increase of trip time which was negligible, the method could effectively reduce headway of mainline in moving block.

引用

页码：931 / 935

页数：5

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