Development of an Agent-based Behavior Module for Evacuation Models — Focused on the Behaviors in the Dark

J. H. Park, H. Kim, H. Whang, J. Park and D. Lee
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J. H. Park: Korea Ocean Research and Development Institute (KORDI)
H. Kim: Korea Ocean Research and Development Institute (KORDI)
H. Whang: Korea Ocean Research and Development Institute (KORDI)
J. Park: Korea Ocean Research and Development Institute (KORDI)
D. Lee: Korea Ocean Research and Development Institute (KORDI)

A chapter in Pedestrian and Evacuation Dynamics 2005, 2007, pp 347-356 from Springer

Abstract: Abstract In the occurrence of an emergency such as a fire, we must be able to come out of the structure we are staying at before its collapsing or fire spreading over it to save our lives. We can estimate the required safe egression time (RSET) for people to evacuate from structures such as a building and a passenger ship with Evacuation Model (EM). Although there are many EM’s currently available, most of them can not simulate evacuation behaviors in the dark. This is fatal to the credibility of simulation by evacuation models. This paper describes a behavior module for evacuation models that can simulate evacuation behaviors in the dark, which is based on Intelligent Agent (IA) technology, to generate more a credible RSET. The module can generate (virtual) evacuees’ key movements in the dark: (1) moving toward a wall, (2) following the wall to come out of the structure, and (3) reducing their travel speed to avoid collisions.

Keywords: Cellular Automaton; Travel Speed; Intelligent Agent; Behavior Module; Metro Station (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-47064-9_32

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DOI: 10.1007/978-3-540-47064-9_32

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