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A particle swarm optimization based behavioral and probabilistic fire evacuation model incorporating fire hazards and human behaviors.

機譯：基于粒子群優(yōu)化的行為和概率火災(zāi)疏散模型，結(jié)合了火災(zāi)隱患和人類行為。

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摘要

This thesis focuses on simulation of human behaviors under the emergency of building fires using a behavioral model called Vacate . Many types of behaviors are included in this research such as automatically detecting the fire hazards, random walking behaviors in pre-evacuation time, wandering behaviors when occupants are in the environment of heavy smoke, wall-following behaviors in the event of heavy smoke, group evacuation behaviors when evacuation leaders are present, and passive evacuation behaviors, such as turning back to the previous room or other rooms to gather belongings or seek refuge. All of these behaviors are based on the heuristic optimization technique of Particle Swarm Optimization (PSO), which originates from simulating a flock of birds.; This thesis includes the simulation of the decision-making process of the occupants' response to fire. Probabilistic factors are considered while the decisions are mainly based on the combined effects of environment, configuration, procedure, and behaviors.; This thesis also focuses on improving the current fire hazard model by combining the hazard effects of smoke, heat, and toxicity. (Abstract shortened by UMI.)
機譯：本文重點研究了一種名為Vacate的行為模型在建筑火災(zāi)緊急情況下的人類行為模擬。這項研究包括許多類型的行為，例如自動檢測火災(zāi)隱患，在撤離時隨機行走的行為，在大煙環(huán)境中乘員時的游蕩行為，大煙事件中的墻跟行為，群體疏散領(lǐng)導在場時的疏散行為，以及被動疏散行為，例如回到前一個房間或其他房間以聚集財產(chǎn)或?qū)で蟊幼o。所有這些行為都基于粒子群優(yōu)化（PSO）的啟發(fā)式優(yōu)化技術(shù)，該技術(shù)源自模擬鳥群。本文包括對乘員對火災(zāi)反應(yīng)的決策過程的仿真?？紤]概率因素，而決策主要基于環(huán)境，配置，過程和行為的綜合影響。本文還著眼于通過結(jié)合煙，熱和毒性的危害效應(yīng)來改進當前的火災(zāi)危害模型。 （摘要由UMI縮短。）

著錄項

  • 作者

    Xue, Zhendan.;

  • 作者單位

    State University of New York at Buffalo.;

  • 授予單位 State University of New York at Buffalo.;
  • 學科 Engineering Mechanical.
  • 學位 M.S.
  • 年度 2006
  • 頁碼 193 p.
  • 總頁數(shù) 193
  • 原文格式 PDF
  • 正文語種 eng
  • 中圖分類 機械、儀表工業(yè);
  • 關(guān)鍵詞

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