SOC-PHNANAJun 8, 2018

The effect of environment knowledge in evacuation scenarios involving fire and smoke - a multiscale modelling and simulation approach

arXiv:1709.0778637 citationsh-index: 29
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of understanding crowd evacuation in complex environments with hazards, but the results are qualitative and incremental.

The study investigates how knowledge of building layout affects evacuation dynamics in the presence of fire and smoke, using a multiscale model. Simulations show that mixing evacuees with different knowledge levels impacts evacuation time and behavior.

We study the evacuation dynamics of a crowd evacuating from a complex geometry in the presence of a fire as well as of a slowly spreading smoke curtain. The crowd is composed of two kinds of individuals: those who know the layout of the building, and those who do not and rely exclusively on potentially informed neighbors to identify a path towards the exit. We aim to capture the effect the knowledge of the environment has on the interaction between evacuees and their residence time in the presence of fire and evolving smoke. Our approach is genuinely multiscale - we employ a two-scale model that is able to distinguish between compressible and incompressible pedestrian flow regimes and allows for micro and macro pedestrian dynamics. Simulations illustrate the expected qualitative behavior of the model. We finish with observations on how mixing evacuees with different levels of knowledge impacts important evacuation aspects.

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