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THE USE OFPATHFINDER AS AN
EVACUATIONPLANNING TOOL
A CASE STUDY IN CONCERT HALLSJoão Emílio Almeida
LIACC - Universidade do Porto
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Summary
Introduction
Path nder as an Evacuation Planning Tool
Case Study: Casa da Música
Sala Suggia
Sala 2
Case Study: Coliseu Porto
Conclusions & Future Work
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Introduction
Egress time => ASET > REST
Egress time ??
Fire Drills?
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Path nder 2016Agent-based egress simulator:
SFPE mode (Nelson and Mower, 2002) / Steering mode (Amor
et al., 2006)
Calibration: IMO (International Maritime Organization ) tests
Navigable Mesh
Behaviors: seek goals; waypoints; exits
Path planning: locally quickest
Door choice: minimizing traveling cost
April 2016
Path nder Version 2016.1.0229 x64
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Case Study: Casa da Música
International tender under - Porto 2001 European Culture
Capital (em 1999) – Winning bid: Arq. Rem Koolhaas OMA
Construction begun 1999 / Opening April 15th, 2005
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Case study: Sala 1 SuggiaCasa da Música
Main Auditorium, area: 1100 sqm
Capacity (seats): parterre 1069;
Choir 143; Boxes I/II 13
Date Event Audience Real Time Path nder
10.04.2016 NOS Club 1000 04:33 02:42
12.04.2016 Piano concert 738 04:05 01:50
17.04.2016 Classic Orchestra 900 05:55 02:42
16.04.2016 Vozes da radio 1000 07:07 02:21
17.04.2016 Choirs - Voice 638 04:10 01:34
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Video CdM Sala Suggia 1036Suggia_1036_4portas.wmv
Playback isn't supported on this device.
0:00 / 1:11
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Casa da Mu ́sica: Sala 2
Date Event Audience Real
Time
Path nder
11.04.2016 Passaro e Fogo 211 04:00 02:42
14.04.2016 Legendary Tiger
Man
638 07:47 03:44
Comparison between Real Time and Path nder
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Case Study 2: Coliseu Porto
Opened in 1941 (Cassiano Branco et al.)
Capacity: 3,500 people standing; 2,955 seated
1995: after decadence was almost sold to
Brazilian Church
1996: re destroyed the stage and partially the
main auditorium
1998: reopened after 2 years of renovation
2014: new Management and new visibility with
more concerts and cultural venues
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Coliseu Porto: main Auditorium
Figure on the right presents a snapshot of the simulation process,
showing the Path nder 3D view rendering, for the 1,394 standing
spectators scenario.
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Conclusions & Future WorkConclusions:
Valuable Aid (Path nder)
Rapid prototyping
Results
Calibration is paramount
More examples and further scenarios are needed
GIGO Rule: “Garbage In, Garbage Out!”
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Acknowledgments
Casa da Música: Engº Paulo Sarmento e Cunha; Engº Gilberto
Gomes
Coliseu Porto: Prof.Dr. Eduardo Paz Barroso; Dr. Fernando
Pinheiro
Thunderhead Eng: Mr. Bryan Klein
LIACC & Univ.Porto