1.

Record Nr.

UNINA9910483931903321

Autore

Abd Rahman Noorhazlinda

Titolo

Crowd Behavior Simulation of Pedestrians During Evacuation Process : DEM-Based Approach / / by Noorhazlinda Abd Rahman

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019

ISBN

981-13-1846-8

Edizione

[1st ed. 2019.]

Descrizione fisica

1 online resource (79 pages)

Collana

SpringerBriefs in Computational Intelligence, , 2625-3704

Disciplina

300.15118

Soggetti

Computational intelligence

Computer simulation

Numerical analysis

Computational Intelligence

Simulation and Modeling

Numerical Analysis

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Introduction -- DEM-Based Crowd Behavior Simulator -- Switching Action Behavior Model in Crowd Behavior Simulator -- Application of a Switching Action Behavior Model to DEM-Based Multi-Agent Crowd Behavior Simulator -- Recapitulation.

Sommario/riassunto

This book introduces the use of the distinct element method (DEM) in modeling crowd behavior and simulating evacuation processes. Focusing on the mathematical computation of the uncertain behavior of evacuees, which is switching action behavior, it subsequently reproduces the crowd evacuation process under several conjectural scenarios using a DEM-based multi-agent model that has been modified by introducing the switching action behavior. The proposed switching action behavior model describes a person who has to change his/her destination due to the limited space capacity of the designated evacuation area. The change in the destination of a person is determined according to the motion of other individuals in the perception domain during the defined switching action time. The switching action time is formulated in the so-called switching action function, which is described by a convolution integral of the input and



unit response functions. The newly developed switching action model is then validated using sensitivity analysis in which the primary focus is the crowd motion and flow of switching action behavior.