Multi-Agent Behavior Simulation for Metro Station Passenger

Authors

Zequn Li, 1. College of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China; ;
Fengting Yan, 1. College of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China; ;
Zhicai Shi, 1. College of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China; ;4. Shanghai Key Laboratory of Integrated Administration Technologies for Information Security,Shanghai 201620,China;
Yumei Jian, 1. College of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China; ;
Changhua Hua, 2. College of Business Administration,Shanghai Lixin Accounting and Finance College,Shanghai 201620,China; ;
Yongzhan Si, 3. General Aviation College of Rizhao Vocational and Technical College,Rizhao 276800,China; ;
Xiang Yang, 1. College of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China; ;

Abstract

Abstract: Metro station is a typical public place with large crowd density.The characteristics of crowd behavior and the guidance based on the characteristics of crowd behavior can effectively train the crowd for emergency evacuation.Adopting the method of multi-agent and characteristics by measuring station building scene,analyzing the influence factors of passenger behavior characteristics,based on the passenger conformity rule,the single-agent passenger route choice behavior model is established.The multiple agents behavioral decision system in the virtual metro stations is established,the WebVR experiment is used to research the influencing factors of passenger herd behavior and decision-making behavior,which provides a theoretical basis for the emergency evacuation strategy during peak periods,and effectively alleviates crowd congestion in metro stations.

Recommended Citation

Li, Zequn; Yan, Fengting; Shi, Zhicai; Jian, Yumei; Hua, Changhua; Si, Yongzhan; and Yang, Xiang (2020) "Multi-Agent Behavior Simulation for Metro Station Passenger," Journal of System Simulation: Vol. 32: Iss. 12, Article 6.
DOI: 10.16182/j.issn1004731x.joss.20-FZ0431
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss12/6

First Page

2341

Revised Date

2020-07-01

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-FZ0431

Last Page

2352

CLC

TP306

Recommended Citation

Li Zequn, Yan Fengting, Shi Zhicai, Jian Yumei, Hua Changhua, Si Yongzhan, Xiang Yang. Multi-Agent Behavior Simulation for Metro Station Passenger[J]. Journal of System Simulation, 2020, 32(12): 2341-2352.

DOI

10.16182/j.issn1004731x.joss.20-FZ0431