FDS+Evac: An Agent Based Fire Evacuation Model

Timo Korhonen (), Simo Hostikka, Simo Heliövaara and Harri Ehtamo
Additional contact information
Timo Korhonen: VTT Technical Research Centre of Finland
Simo Hostikka: VTT Technical Research Centre of Finland
Simo Heliövaara: Helsinki University of Technology, Systems Analysis Laboratory
Harri Ehtamo: Helsinki University of Technology, Systems Analysis Laboratory

A chapter in Pedestrian and Evacuation Dynamics 2008, 2010, pp 109-120 from Springer

Abstract: Summary In this paper, an evacuation simulation method is presented, which is embedded in a CFD based fire modelling programme. The evacuation programme allows the modelling of high crowd density situations and the interaction between evacuation simulations and state-of-the-art fire simulations. The evacuation process is modelled as a quasi-2D system, where autonomous agents simulating the escaping humans are moving according to equations of motion and decision making processes. The space and time, where the agents are moving, is taken to be continuous, but the building geometry is discretized using fine meshes. The model follows each agent individually and each agent has its own personal properties, like mass, walking velocity, familiar doors, etc. The fire and evacuation calculations interact via the smoke and gas concentrations. A reaction function model is used to select the exit routes. The model is compared to other evacuation simulation models using some test simulations.

Keywords: Computational Fluid Dynamics; Contact Force; Fire Safety; Dissipative Particle Dynamic; Reaction Time Distribution (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-04504-2_8

Ordering information: This item can be ordered from
http://www.springer.com/9783642045042

DOI: 10.1007/978-3-642-04504-2_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().