Paper Info
Title
Simulation Research on Safe Flow Rate of Bidirectional Crowds Using Bayesian-Nash Equilibrium.
Abstract
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.
Year
DOI
Venue
2019
10.1155/2019/7942483
COMPLEXITY
Field
DocType
Volume
Pedestrian flow,Crowds,Pedestrian,Crowd management,Control theory,Expected utility hypothesis,Operations research,Bayesian game,Mathematics,Volumetric flow rate
Journal
2019
ISSN
Citations 
PageRank 
1076-2787
0
0.34
References 
Authors
9
4
Name
Order
Citations
PageRank
Can Liao100.68
Kejun Zhu217722.96
Haixiang Guo37110.66
Jian Tang401.01