• DocumentCode
    2166687
  • Title

    An overview of agent-based evacuation models for building fires

  • Author

    Hu, Yuling ; Liu, Xiwei ; Wang, Feiyue ; Cheng, Changjian

  • Author_Institution
    Beijing Key Lab. of Autom. Control Syst., Beijing Inst. of Technol., Beijing, China
  • fYear
    2012
  • fDate
    11-14 April 2012
  • Firstpage
    382
  • Lastpage
    386
  • Abstract
    Agent-based evacuation modeling approach is gained more and more attention for investigating human cognitive capabilities and social behaviors in building fires. This paper mainly overviews the research about various agent-based evacuation models. For the decision-making reflects the intelligence of agent individual, we define three types of behavior decision-making models for agent individual based on the collected literatures and sum up the characteristics of each type. Aiming at crowd´ important influence on evacuation processes, we also sum up two types of agent-based crowd modeling approaches to simulate crowd evacuation processes and give corresponding cases. Finally, after summing up the existing problems, the outlooks of the research from computational experiments point of view is proposed.
  • Keywords
    behavioural sciences computing; decision making; fires; knowledge based systems; agent individual intelligence; agent-based evacuation models; building fires; Adaptation models; Biological system modeling; Buildings; Computational modeling; Decision making; Fires; Humans; agent-based modeling; computational experiments; crowd modeling; decision-making; individual models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control (ICNSC), 2012 9th IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-0388-0
  • Type

    conf

  • DOI
    10.1109/ICNSC.2012.6204949
  • Filename
    6204949