• DocumentCode
    2636043
  • Title

    Modeling Emergency Scenarios in Virtual Evacuation Environment

  • Author

    Sharma, Sharad ; Vadali, Harish

  • Author_Institution
    Dept. of Comput. Sci., Bowie State Univ., Bowie, MD, USA
  • Volume
    4
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    759
  • Lastpage
    763
  • Abstract
    There has been an increasing interest in the use of Virtual Reality for learning and training. The development of Virtual Reality environment makes it possible for a user to understand and observe multiple paths and emotions that an agent would observe during evacuation. This paper presents a fuzzy logic application for modeling an evacuation scenario where fuzzy parameters such as stress, panic, and anger are modeled using fuzzy logic and integrated in the virtual environment. We present a virtual environment that has a group of agents move towards their goal which is the shortest distance from their initial position. Changing the fuzzy parameters has an effect on agentspsila speed. This paper presents a virtual reality application for simulation of panic behavior in a library building. The results show that the application can be used for way finding in the building, evacuation simulation, and safety evaluations of the building.
  • Keywords
    behavioural sciences computing; fuzzy logic; multi-agent systems; virtual reality; agent speed; anger; building safety evaluation; emergency scenario modeling; fuzzy logic application; fuzzy parameters; library building; panic behavior; stress; virtual evacuation environment; virtual reality; way finding; Buildings; Computer science; Fuzzy logic; Humans; Libraries; Mathematical model; Navigation; Stress; Virtual environment; Virtual reality; Behavior Modeling; Emergency Simulation; Evacuation Simulation; Virtual Reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.450
  • Filename
    5171098