Crowd Behavior Simulation of Pedestrians During Evacuation Process

DEM-Based Approach

  • Noorhazlinda¬†Abd Rahman

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the SpringerBriefs in Computational Intelligence book sub series (BRIEFSINTELL)

Table of contents

  1. Front Matter
    Pages i-x
  2. Noorhazlinda Abd Rahman
    Pages 1-4
  3. Noorhazlinda Abd Rahman
    Pages 5-20
  4. Noorhazlinda Abd Rahman
    Pages 55-57
  5. Back Matter
    Pages 59-72

About this book


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.


Distinct Element Method Multi-Agent Crowd Simulation Crowd Behaviour Simulator Pedestrian Dynamics Switching Action Evacuation Simulation Human Crowd Dynamics DEM-Based Multi Agent Model Dynamic Behavior of Evacuation Crowd Evacuation Process

Authors and affiliations

  • Noorhazlinda¬†Abd Rahman
    • 1
  1. 1.School of Civil EngineeringUniversiti Sains MalaysiaNibong Tebal, PenangMalaysia

Bibliographic information

  • DOI
  • Copyright Information The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Intelligent Technologies and Robotics
  • Print ISBN 978-981-13-1845-0
  • Online ISBN 978-981-13-1846-7
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
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