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Modelling of panicking pedestrians during emergency evacuation.
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.
2013 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

ROYAL INSTITUTE OF TECHNOLOGY

Abstract

Department of Mathematics

Division of Optimization and Systems Theory

Bachelor of Science

Modelling of panicking pedestrians during emergency evacuation

by Eric

Leijonmarck and Thomas Olergard

Simulation of egress is vital for minimizing casualties during disasters, however accurate

simulations are scarce and real life data is hard to come by. We have created a mathematical

model using Matlab

TMto simulate escaping pedestrians during a panic situation

using the Social Force Model. The model has additional forces implemented both for

improving the Social Force Model and to implement a panic behavior. The panic level is

determined by elapsed time, velocity dierence, inuence of adjacent agents and solitude.

Each simulated agent is evaluated as an independent actor that navigates according to

its local perception of the dynamic environment, the laws of simulated physics that regulates

its motion, and a set of behavioral rules. For further enhancement of the model,

simulations are evaluated and used for improvements to the panic behavior. The model

simulates a primitive panicking crowd with a given oor plan, and a re blocking an

exit. The conclusion is that CEPABS exhibits somewhat realistic human behaviors and

evacuees close to re are more likely to take fatal risks, with increased panic level, the

evacuees have a higher fatality rate. The conclusions given above should be taken lightly,

as CEPABS need further evaluation, improvements and verication by empirical data

before CEPABS can be applied to practical situations.

Place, publisher, year, edition, pages
2013. , 74 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-137219OAI: oai:DiVA.org:kth-137219DiVA: diva2:678432
Supervisors
Available from: 2013-12-12 Created: 2013-12-12 Last updated: 2013-12-12Bibliographically approved

Open Access in DiVA

Kandidatexamens rapport Eric Leijonmarck och Thomas Olergård(1510 kB)714 downloads
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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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Output format
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