Simulation Research on Safe Flow Rate of Bidirectional Crowds Using Bayesian-Nash Equilibrium
Current research on pedestrian flows has mainly focused on evacuation optimization during or after emergencies; however, crowd management before emergencies has received little attention. This paper examines the management of a Safe Pedestrian Flow Rate, in which the Bayesian-Nash Equilibrium mimics...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/7942483 |
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| _version_ | 1849405169565958144 |
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| author | Can Liao Kejun Zhu Haixiang Guo Jian Tang |
| author_facet | Can Liao Kejun Zhu Haixiang Guo Jian Tang |
| author_sort | Can Liao |
| collection | DOAJ |
| description | Current research on pedestrian flows has mainly focused on evacuation optimization during or after emergencies; however, crowd management before emergencies has received little attention. This paper examines the management of a Safe Pedestrian Flow Rate, in which the Bayesian-Nash Equilibrium mimics pedestrians’ decision-making, and a multiagent system is employed to reproduce pedestrians’ interactions. In the model, the pedestrian tunnel is divided into cells, with each pedestrian in a cell receiving a utility depending on the distance to the exit and the number of pedestrians in the cell. Then, each pedestrian uses the Bayesian-Nash Equilibrium to search for the target cell with maximum expected utility, moves in, and makes next decision until exiting the tunnel. The simulation model is calibrated and validated from a real scenario. Finally, from the experimental data collected from different simulation scenarios, this research reaches the conclusion that the Safe Pedestrian Flow Rate increases by about 2.96ped/s as the tunnel width expanded by 1m. This paper offers a novel method for reducing potential losses caused by crowd emergencies and can be a valuable reference for managing pedestrian flows and designing public places. |
| format | Article |
| id | doaj-art-44c4407431ae4df498f7ff99638c71c8 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-44c4407431ae4df498f7ff99638c71c82025-08-20T03:36:45ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/79424837942483Simulation Research on Safe Flow Rate of Bidirectional Crowds Using Bayesian-Nash EquilibriumCan Liao0Kejun Zhu1Haixiang Guo2Jian Tang3School of Management and Economics, China University of Geosciences, Wuhan 430074, ChinaSchool of Management and Economics, China University of Geosciences, Wuhan 430074, ChinaSchool of Management and Economics, China University of Geosciences, Wuhan 430074, ChinaSchool of Management and Economics, China University of Geosciences, Wuhan 430074, ChinaCurrent research on pedestrian flows has mainly focused on evacuation optimization during or after emergencies; however, crowd management before emergencies has received little attention. This paper examines the management of a Safe Pedestrian Flow Rate, in which the Bayesian-Nash Equilibrium mimics pedestrians’ decision-making, and a multiagent system is employed to reproduce pedestrians’ interactions. In the model, the pedestrian tunnel is divided into cells, with each pedestrian in a cell receiving a utility depending on the distance to the exit and the number of pedestrians in the cell. Then, each pedestrian uses the Bayesian-Nash Equilibrium to search for the target cell with maximum expected utility, moves in, and makes next decision until exiting the tunnel. The simulation model is calibrated and validated from a real scenario. Finally, from the experimental data collected from different simulation scenarios, this research reaches the conclusion that the Safe Pedestrian Flow Rate increases by about 2.96ped/s as the tunnel width expanded by 1m. This paper offers a novel method for reducing potential losses caused by crowd emergencies and can be a valuable reference for managing pedestrian flows and designing public places.http://dx.doi.org/10.1155/2019/7942483 |
| spellingShingle | Can Liao Kejun Zhu Haixiang Guo Jian Tang Simulation Research on Safe Flow Rate of Bidirectional Crowds Using Bayesian-Nash Equilibrium Complexity |
| title | Simulation Research on Safe Flow Rate of Bidirectional Crowds Using Bayesian-Nash Equilibrium |
| title_full | Simulation Research on Safe Flow Rate of Bidirectional Crowds Using Bayesian-Nash Equilibrium |
| title_fullStr | Simulation Research on Safe Flow Rate of Bidirectional Crowds Using Bayesian-Nash Equilibrium |
| title_full_unstemmed | Simulation Research on Safe Flow Rate of Bidirectional Crowds Using Bayesian-Nash Equilibrium |
| title_short | Simulation Research on Safe Flow Rate of Bidirectional Crowds Using Bayesian-Nash Equilibrium |
| title_sort | simulation research on safe flow rate of bidirectional crowds using bayesian nash equilibrium |
| url | http://dx.doi.org/10.1155/2019/7942483 |
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