A fuzzy-theory-based behavioral model for studying pedestrian evacuation from a single-exit room

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)Comment/debate

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)2619-2627
Journal / PublicationPhysics Letters, Section A: General, Atomic and Solid State Physics
Volume380
Issue number34
Online published9 Jun 2016
Publication statusPublished - 6 Aug 2016

Abstract

Many mass events in recent years have highlighted the importance of research on pedestrian evacuation dynamics. A number of models have been developed to analyze crowd behavior under evacuation situations. However, few focus on pedestrians' decision-making with respect to uncertainty, vagueness and imprecision. In this paper, a discrete evacuation model defined on the cellular space is proposed according to the fuzzy theory which is able to describe imprecise and subjective information. Pedestrians' percept information and various characteristics are regarded as fuzzy input. Then fuzzy inference systems with rule bases, which resemble human reasoning, are established to obtain fuzzy output that decides pedestrians' movement direction. This model is tested in two scenarios, namely in a single-exit room with and without obstacles. Simulation results reproduce some classic dynamics phenomena discovered in real building evacuation situations, and are consistent with those in other models and experiments. It is hoped that this study will enrich movement rules and approaches in traditional cellular automaton models for evacuation dynamics.

Research Area(s)

  • Evacuation dynamics, Fuzzy theory, Model, Pedestrian