Evaluating and optimizing evacuation plans for crowd egress

Vincius J. Cassol; Estevao Smania Testa; Claudio Rosito Jung; Muhammad Usman; Petros Faloutsos; Glen Berseth; Mubbasir Kapadia; Norman I. Badler; Soraia Raupp Musse

doi:10.1109/MCG.2017.3271454

Evaluating and optimizing evacuation plans for crowd egress

Vincius J. Cassol^*, Estevao Smania Testa, Claudio Rosito Jung, Muhammad Usman, Petros Faloutsos, Glen Berseth, Mubbasir Kapadia, Norman I. Badler, Soraia Raupp Musse

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

Abstract

Evacuation planning is an important and difficult task in building design. The proposed framework can identify optimal evacuation plans using decision points, which control the ratio of agents that select a particular route at a specific spatial location. The authors optimize these ratios to achieve the best evacuation based on a quantitatively validated metric for evacuation performance. This metric captures many of the important aspects of an evacuation: Total evacuation time, average evacuation time, agent speed, and local agent density. The proposed approach was validated using a night club model that incorporates real data from an actual evacuation.

Original language	English
Article number	8013477
Pages (from-to)	60-71
Number of pages	12
Journal	IEEE Computer Graphics and Applications
Volume	37
Issue number	4
DOIs	https://doi.org/10.1109/MCG.2017.3271454
State	Published - 2017
Externally published	Yes

Bibliographical note

Funding Information:
This work was partially supported by Brazil’s CNPq (grant 305084/2016-0) and CAPES (grants 99999.007102/2014-03 and BEX 7116-14-4) and the NSERC Discovery Program, Canada.

Publisher Copyright:
© 1981-2012 IEEE.

Keywords

computer graphics
crowd analysis
crowd evacuations
crowd simulation
evacuation optimization
evacuation plans

ASJC Scopus subject areas

Software
Computer Graphics and Computer-Aided Design

Access to Document

10.1109/MCG.2017.3271454

Cite this

@article{86362d60ffd346a599506325ad3b4d1a,

title = "Evaluating and optimizing evacuation plans for crowd egress",

abstract = "Evacuation planning is an important and difficult task in building design. The proposed framework can identify optimal evacuation plans using decision points, which control the ratio of agents that select a particular route at a specific spatial location. The authors optimize these ratios to achieve the best evacuation based on a quantitatively validated metric for evacuation performance. This metric captures many of the important aspects of an evacuation: Total evacuation time, average evacuation time, agent speed, and local agent density. The proposed approach was validated using a night club model that incorporates real data from an actual evacuation.",

keywords = "computer graphics, crowd analysis, crowd evacuations, crowd simulation, evacuation optimization, evacuation plans",

author = "Cassol, {Vincius J.} and Testa, {Estevao Smania} and {Rosito Jung}, Claudio and Muhammad Usman and Petros Faloutsos and Glen Berseth and Mubbasir Kapadia and Badler, {Norman I.} and {Raupp Musse}, Soraia",

note = "Funding Information: This work was partially supported by Brazil{\textquoteright}s CNPq (grant 305084/2016-0) and CAPES (grants 99999.007102/2014-03 and BEX 7116-14-4) and the NSERC Discovery Program, Canada. Publisher Copyright: {\textcopyright} 1981-2012 IEEE.",

year = "2017",

doi = "10.1109/MCG.2017.3271454",

language = "English",

volume = "37",

pages = "60--71",

journal = "IEEE Computer Graphics and Applications",

issn = "0272-1716",

publisher = "IEEE Computer Society",

number = "4",

}

TY - JOUR

T1 - Evaluating and optimizing evacuation plans for crowd egress

AU - Cassol, Vincius J.

AU - Testa, Estevao Smania

AU - Rosito Jung, Claudio

AU - Usman, Muhammad

AU - Faloutsos, Petros

AU - Berseth, Glen

AU - Kapadia, Mubbasir

AU - Badler, Norman I.

AU - Raupp Musse, Soraia

N1 - Funding Information: This work was partially supported by Brazil’s CNPq (grant 305084/2016-0) and CAPES (grants 99999.007102/2014-03 and BEX 7116-14-4) and the NSERC Discovery Program, Canada. Publisher Copyright: © 1981-2012 IEEE.

PY - 2017

Y1 - 2017

N2 - Evacuation planning is an important and difficult task in building design. The proposed framework can identify optimal evacuation plans using decision points, which control the ratio of agents that select a particular route at a specific spatial location. The authors optimize these ratios to achieve the best evacuation based on a quantitatively validated metric for evacuation performance. This metric captures many of the important aspects of an evacuation: Total evacuation time, average evacuation time, agent speed, and local agent density. The proposed approach was validated using a night club model that incorporates real data from an actual evacuation.

AB - Evacuation planning is an important and difficult task in building design. The proposed framework can identify optimal evacuation plans using decision points, which control the ratio of agents that select a particular route at a specific spatial location. The authors optimize these ratios to achieve the best evacuation based on a quantitatively validated metric for evacuation performance. This metric captures many of the important aspects of an evacuation: Total evacuation time, average evacuation time, agent speed, and local agent density. The proposed approach was validated using a night club model that incorporates real data from an actual evacuation.

KW - computer graphics

KW - crowd analysis

KW - crowd evacuations

KW - crowd simulation

KW - evacuation optimization

KW - evacuation plans

UR - http://www.scopus.com/inward/record.url?scp=85028816840&partnerID=8YFLogxK

U2 - 10.1109/MCG.2017.3271454

DO - 10.1109/MCG.2017.3271454

M3 - Article

C2 - 28829294

AN - SCOPUS:85028816840

SN - 0272-1716

VL - 37

SP - 60

EP - 71

JO - IEEE Computer Graphics and Applications

JF - IEEE Computer Graphics and Applications

IS - 4

M1 - 8013477

ER -

Evaluating and optimizing evacuation plans for crowd egress

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this