This title appears in the Scientific Report :
2015
Knowledge- and Perception-based Route Choice Modelling in Case of Fire
Knowledge- and Perception-based Route Choice Modelling in Case of Fire
The life safety assessment in case of fire has already been investigated in numerous publicationsand many evacuation models are capable to consider fire-relevant field quantities. Commonly, the modellingof human-fire-interaction is based on a visibility-dependent reduction of movement speeds anddose...
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Personal Name(s): | Schröder, Benjamin (Corresponding author) |
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Haensel, David / Chraibi, Mohcine / Arnold, Lukas / Seyfried, Armin / Andresen, Erik | |
Contributing Institute: |
Jülich Supercomputing Center; JSC |
Published in: |
6th International Symposium on Human Behaviour in Fire 2015 |
Imprint: |
Interscience Communications Limited
2015
|
Physical Description: |
327-338 |
ISBN: |
978-0-9933933-0-3 |
Conference: | Human Behaviour in Fire Symposium 2015, Cambridge (United Kingdom), 2015-09-28 - 2015-09-30 |
Document Type: |
Contribution to a conference proceedings |
Research Program: |
Quantitative Beschreibung der Staubildung in Fußgängerströmen Optimierung der Rauchableitung und Personenführung in U-Bahnhöfen: Experimente und Simulationen Computational Science and Mathematical Methods |
Publikationsportal JuSER |
The life safety assessment in case of fire has already been investigated in numerous publicationsand many evacuation models are capable to consider fire-relevant field quantities. Commonly, the modellingof human-fire-interaction is based on a visibility-dependent reduction of movement speeds anddose-effect-relationships for toxic or irritant fire effluents. With regards to the tactical level of evacuationmodels, another challenge is the modelling of individual behavioural patterns like dynamic routingstrategies during fire. Experimental as well as post-incident studies imply the consideration of theseaspects in coupled fire and evacuation analyses. In our work, we aim to set up a modelling frameworkto address these patterns based on individual knowledge about a structure as well as the perception offire-related effects. For this purpose, we present a coupled fire and evacuation analysis based on a simplifiedtest scenario. The fire-relevant field quantities are calculated with NIST’s Fire Dynamics SimulatorVersion 6.1.2. For the evacuation simulation, we apply the research framework JuPedSim extended by aversatile routing submodel that utilises the cognitive map concept and perception modelling. Finally, thepresented modelling approach is tested with a functional verification and a parameter sensitivity analysis. |