Nonlinear Dynamics Model of Crowd Panic Propagation under Disaster Conditions

DOI

10.2991/ecae-17.2018.47How to use a DOI?

Keywords

nonlinear dynamic model; control; disaster condition; panic; dynamic ball model

Abstract

In disaster conditions, people often fall in panic. When the population panics raise to a certain extent, they can aggravate the confusion degree of crowd evacuation, leading to greater casualties further. Therefore, this paper proposes a non-linear dynamic model describing crowd panic propagation, to support theoretically the effective evacuation guidance and control of panic-stricken crowd. Based on the natural similarity between the panic transmission and the ball collision, this paper introduces the ball collision model to describe the panic transmission characteristics based on the traditional dynamics model and transforms the evacuation panic transmission problem into a linear dynamic ball collision model. The degree of panic changes the force between evacuee individuals and determines the expansion degree of the ball volume, then changes the diameter of the ball. The amount of change in momentum measures the degree of panic. Using the non-linear dynamics model of panic propagation in this paper, we can systematically analyze the impact of panic transmission on population evacuation by adjusting various elements of evacuation scenarios.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Rongyong Zhao
AU  - Daheng Dong
AU  - Qianshan Hu
AU  - Cuiling Li
AU  - Dong Wang
PY  - 2017/12
DA  - 2017/12
TI  - Nonlinear Dynamics Model of Crowd Panic Propagation under Disaster Conditions
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
PB  - Atlantis Press
SP  - 225
EP  - 228
SN  - 2352-5401
UR  - https://doi.org/10.2991/ecae-17.2018.47
DO  - 10.2991/ecae-17.2018.47
ID  - Zhao2017/12
ER  -