Simulation Research on Safe Flow Rate of Bidirectional Crowds Using Bayesian-Nash Equilibrium

Table 1

Brief summary of recent studies on pedestrian flow.

Article	Methodology	Focus of Research	Pre-emergency /Post-emergency
[10]	Visual intelligence & AB	Estimate evaluation time	Pre-emergency
[11]	Decision support system & AB	Safety evaluation	Pre-emergency
[16]	Artificial Neural Network	Route choice behavior	Pre-emergency
[17]	Combination of macroscopic model and microscopic model	Prediction of evacuation time	Pre-emergency
[18]	Fuzzy logic& microscopic simulation	Model research	Pre-emergency
[19]	Multi-grid method & CA	Characteristics of unidirectional pedestrian flows	Pre-emergency
[20]	Toy model & microscopic simulation	Bidirectional pedestrian flow	Pre-emergency
[21]	Improved CA	Walking Strategies of Bidirectional Pedestrians	Pre-emergency
[22]	Monte-Carlo simulation & Game Theory	Pedestrian Group-Crossing Behavior	Pre-emergency
[6]	Modified social force model	Influence of information transmission	Post-emergency
[8]	Improved cellular automaton model	Influence of route changes and group fields	Post-emergency
[23]	GA & microscopic pedestrian simulation	Optimal evacuation plan	Post-emergency
[24]	Game theory & CA	Influence of cooperation and psychological factors	Post-emergency
[25]	Local optimal decision & SF	Evacuations	Post-emergency
[26]	Game theory & AB	Model research	Post-emergency
[27]	Experiments & improved force-based model simulation	Impact of vision on uni- and bi-directional flows	Post-emergency
[28]	Experimental study	Relationship between crowd density and crawling movements	Post-emergency
[29]	Surveys, evacuation experiments & statistical analyses	Exit choices for pedestrian crowd evacuees	Post-emergency
[30]	Improved cellular automaton model	Group Influence	Post-emergency
[31]	Probabilistic model & Latin Hypercube Sampling method	Evacuation safety evaluation	Post-emergency
[32]	Evolving network & CA	Decision-making process and cooperative behavior	Post-emergency
[33]	Fuzzy theory & LG	Influence of information transmission on crowds	Post-emergency
[34]	Grouping algorithm & SF	Influence of Groups	Post-emergency
[35]	Cost potential field & CA	Influence of behavior variations	Post-emergency
[36]	Driving-forces model & AB	Influence of moving threats	Post-emergency
[37]	Improved cellular automaton model	Effect of psychological tension	Post-emergency
[38]	Empirical study	Influence of social groups	Post-emergency
[39]	Route learning method & modified social force model	Factors for evacuation efficiency	Post-emergency

In the table, AB is short for agent based model, CA is short for cellular automata model, LG is short for lattice gas model, and SF is short for social force model.