eprintid: 411
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/04/11
datestamp: 2023-11-09 15:16:03
lastmod: 2023-11-09 15:16:03
status_changed: 2023-11-09 15:14:30
type: article
metadata_visibility: show
creators_name: Rahman, A.
creators_name: Mahmood, A.K.
creators_name: Schneider, E.
title: Using agent-based simulation of human behavior to reduce evacuation time
ispublished: pub
keywords: Agents; Artificial intelligence; Behavioral research; Human engineering; Intelligent agents; Optimization; Sensitivity analysis; Tall buildings, Ant colony optimization; Cognitive behavior; Evacuation planning; Multi-agent simulation; Prometheus methodology, Multi agent systems
note: cited By 7; Conference of 11th Pacific Rim International Conference on Multi-Agents, PRIMA 2008 ; Conference Date: 15 December 2008 Through 16 December 2008; Conference Code:75114
abstract: 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.
date: 2008
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-58449113033&doi=10.1007%2f978-3-540-89674-6_40&partnerID=40&md5=a25a2b38111285d1bd2e8c6def5e5a5d
id_number: 10.1007/978-3-540-89674-6₄₀
full_text_status: none
publication: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
volume: 5357 L
place_of_pub: Hanoi
pagerange: 357-369
refereed: TRUE
isbn: 3540896732; 9783540896739
issn: 03029743
citation:   Rahman, A. and Mahmood, A.K. and Schneider, E.  (2008) Using agent-based simulation of human behavior to reduce evacuation time.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5357 L.  pp. 357-369.  ISSN 03029743