Logo

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

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.

This is the latest version of this item.

[img] PDF (Using agent-based simulation of human behavior to reduce evacuation time)
Restricted to Registered users only

414Kb

Official URL: http://www.scopus.com/inward/record.url?eid=2-s2.0...

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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled 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
Subjects:Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:2846
Deposited By: Dr Ahmad Kamil Mahmood
Deposited On:23 Sep 2010 04:45
Last Modified:19 Jan 2017 08:26

Available Versions of this Item

Repository Staff Only: item control page

Document Downloads

More statistics for this item...