Research on Urban Rail Transit Route Choice Decision Based on the Improved Imperialist Competition Algorithm

Authors

Xiaofeng Lian, 1. School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China; ;
Ye Lu, 1. School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China; ;
Wang Yan, 1. School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China; ;
Limin Jia, 2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;
Huiru Ma, 2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;

Abstract

Abstract: This paper proposes a method of passenger route selection based on the imperialist competition improvement algorithm (FAST-ICA) to improve the efficiency of passenger route selection. Six key factors influencing the choice of passenger route are selected. On this basis, the generalized travel cost function is constructed and the passenger route selection model is established. By improving the imperial competition way in the imperialist competition algorithm (ICA), the weakest imperial groups are quickly divided up in each iteration of ICA algorithm to accelerate the convergence rate. Based on the proposed FAST-ICA algorithm, the problem of passenger choice in different environments is solved and carried out in-depth analysis. The experimental results show that the FAST ICA algorithm has good stability and fast convergence speed.

Recommended Citation

Lian, Xiaofeng; Lu, Ye; Yan, Wang; Jia, Limin; and Ma, Huiru (2019) "Research on Urban Rail Transit Route Choice Decision Based on the Improved Imperialist Competition Algorithm," Journal of System Simulation: Vol. 31: Iss. 8, Article 23.
DOI: 10.16182/j.issn1004731x.joss.17-0267
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss8/23

First Page

1692

Revised Date

2017-07-28

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.17-0267

Last Page

1701

CLC

TP391.9

Recommended Citation

Lian Xiaofeng, Ye Lu, Wang Yan, Jia Limin, Ma Huiru. Research on Urban Rail Transit Route Choice Decision Based on the Improved Imperialist Competition Algorithm[J]. Journal of System Simulation, 2019, 31(8): 1692-1701.

DOI

10.16182/j.issn1004731x.joss.17-0267