Algorithm Research & Explore
|
91-93,98

Research and analysis of VMS location based on improved genetic algorithm

Yu Lei
Ma Shengtao
Yang Jie
Kang Yuan
College of Electronics & Control Engineering, Changan University, Xi'an 710054, China

Abstract

For the intelligent traffic guidance system in the domestic application of immature, this paper used the improved genetic algorithm to optimize the location of VMS in the road network, and improved the coding method and selection method in the basic genetic algorithm. At the same time, it used the dynamic decay mutation probability to perform the mutation operation, used the multi-objective optimization to singulate the multi-objective function, and introduced the attenuation influence factor for the different degree of VMS on the downstream of the road segment. Then, it carried out the VMS layout simulation test with the complex virtual road network as the simulation example. The results show that the method uses VMS utility and economic cost as the evaluation index, it can achieve the optimal distribution of VMS site in the traffic network and the purpose of saving resources, which has certain scientificity and practicability.

Foundation Support

归国留学人员科研启动项目(2013C0320118)
2016年亚龙—教育部产学合作协同育人项目(201602014003)
中央高校基本科研业务经费专项资金项目(2014G1321039)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.06.0645
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 1
Section: Algorithm Research & Explore
Pages: 91-93,98
Serial Number: 1001-3695(2019)01-020-0091-03

Publish History

[2019-01-05] Printed Article

Cite This Article

余雷, 马生涛, 杨杰, 等. 基于改进遗传算法的VMS选址研究与分析 [J]. 计算机应用研究, 2019, 36 (1): 91-93,98. (Yu Lei, Ma Shengtao, Yang Jie, et al. Research and analysis of VMS location based on improved genetic algorithm [J]. Application Research of Computers, 2019, 36 (1): 91-93,98. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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