Using agent-based simulation of human behavior to reduce evacuation time

Human factors play a significant part in the time taken to evacuate due to an emergency. An agent-based simulation, using the Prometheus methodology (SEEP 1.5), has been developed to study the complex behavior of human (the 'agents') in high-rise building evacuations. In the case of hostel...

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Main Authors: A.K., Mahmood, A., Rahman, E., Schneider
Format: Conference or Workshop Item
Published: 2008
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Online Access:http://eprints.utp.edu.my/172/1/paper.pdf
http://www.scopus.com/inward/record.url?eid=2-s2.0-58449113033&partnerID=40&md5=99d8b4739d9aa9b7a70968dea21d8ad5
http://eprints.utp.edu.my/172/
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spelling my.utp.eprints.1722017-01-19T08:26:21Z Using agent-based simulation of human behavior to reduce evacuation time A.K., Mahmood A., Rahman E., Schneider Q Science (General) QA75 Electronic computers. Computer science Human factors play a significant part in the time taken to evacuate due to an emergency. An agent-based simulation, using the Prometheus methodology (SEEP 1.5), has been developed to study the complex behavior of human (the 'agents') in high-rise building evacuations. In the case of hostel evacuations, simulation results show that pre-evacuation phase takes 60.4% of Total Evacuation Time (TET). The movement phase (including queuing time) only takes 39.6% of TET. From sensitivity analysis, it can be shown that a reduction in TET by 41.2% can be achieved by improving the recognition phase. Emergency exit signs have been used as smart agents. Modified Ant Colony Optimization (ACO) was used to determine the feasibility of the evacuation routes. Both wayfinding methods, the 'familiarity of environment', which is the most natural method, and the ACO method have been simulated and comparisons were made. In scenario 1, where there were no obstacles, both methods achieved the same TET. However, in scenario 2, where an obstacle was present, the TET for the ACO wayfinding method was 21.6% shorter than the one for the 'familiarity' wayfinding method. © 2008 Springer Berlin Heidelberg. 2008 Conference or Workshop Item NonPeerReviewed application/pdf http://eprints.utp.edu.my/172/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-58449113033&partnerID=40&md5=99d8b4739d9aa9b7a70968dea21d8ad5 A.K., Mahmood and A., Rahman and E., Schneider (2008) Using agent-based simulation of human behavior to reduce evacuation time. In: 11th Pacific Rim International Conference on Multi-Agents, PRIMA 2008, 15 December 2008 through 16 December 2008, Hanoi. http://eprints.utp.edu.my/172/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic Q Science (General)
QA75 Electronic computers. Computer science
spellingShingle Q Science (General)
QA75 Electronic computers. Computer science
A.K., Mahmood
A., Rahman
E., Schneider
Using agent-based simulation of human behavior to reduce evacuation time
description Human factors play a significant part in the time taken to evacuate due to an emergency. An agent-based simulation, using the Prometheus methodology (SEEP 1.5), has been developed to study the complex behavior of human (the 'agents') in high-rise building evacuations. In the case of hostel evacuations, simulation results show that pre-evacuation phase takes 60.4% of Total Evacuation Time (TET). The movement phase (including queuing time) only takes 39.6% of TET. From sensitivity analysis, it can be shown that a reduction in TET by 41.2% can be achieved by improving the recognition phase. Emergency exit signs have been used as smart agents. Modified Ant Colony Optimization (ACO) was used to determine the feasibility of the evacuation routes. Both wayfinding methods, the 'familiarity of environment', which is the most natural method, and the ACO method have been simulated and comparisons were made. In scenario 1, where there were no obstacles, both methods achieved the same TET. However, in scenario 2, where an obstacle was present, the TET for the ACO wayfinding method was 21.6% shorter than the one for the 'familiarity' wayfinding method. © 2008 Springer Berlin Heidelberg.
format Conference or Workshop Item
author A.K., Mahmood
A., Rahman
E., Schneider
author_facet A.K., Mahmood
A., Rahman
E., Schneider
author_sort A.K., Mahmood
title Using agent-based simulation of human behavior to reduce evacuation time
title_short Using agent-based simulation of human behavior to reduce evacuation time
title_full Using agent-based simulation of human behavior to reduce evacuation time
title_fullStr Using agent-based simulation of human behavior to reduce evacuation time
title_full_unstemmed Using agent-based simulation of human behavior to reduce evacuation time
title_sort using agent-based simulation of human behavior to reduce evacuation time
publishDate 2008
url http://eprints.utp.edu.my/172/1/paper.pdf
http://www.scopus.com/inward/record.url?eid=2-s2.0-58449113033&partnerID=40&md5=99d8b4739d9aa9b7a70968dea21d8ad5
http://eprints.utp.edu.my/172/
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