Overview
- Outlines the fundamental concept of the distinct element method (DEM) and framework of the DEM-based multi-agent model
- Presents a new mathematical model of switching action behavior with application in the DEM-based multi-agent model
- Includes performance validation of the switching action behavior model on different conjectural scenarios in the evacuation process
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (5 chapters)
Keywords
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 actionmodel is then validated using sensitivity analysis in which the primary focus is the crowd motion and flow of switching action behavior.
Authors and Affiliations
Bibliographic Information
Book Title: Crowd Behavior Simulation of Pedestrians During Evacuation Process
Book Subtitle: DEM-Based Approach
Authors: Noorhazlinda Abd Rahman
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-981-13-1846-7
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019
Softcover ISBN: 978-981-13-1845-0Published: 14 September 2018
eBook ISBN: 978-981-13-1846-7Published: 04 September 2018
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: X, 72
Number of Illustrations: 25 b/w illustrations, 7 illustrations in colour
Topics: Computational Intelligence, Simulation and Modeling, Numerical Analysis