• DocumentCode
    2697718
  • Title

    A modified Particle Swarm Optimization-based human behavior modeling for emergency evacuation simulation system

  • Author

    Cheng, Wang ; Bo, Yang ; Lijun, Li ; Hua, Huang

  • Author_Institution
    Digital Valley Technol. Lab. of Hubei province, Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2008
  • fDate
    20-23 June 2008
  • Firstpage
    23
  • Lastpage
    28
  • Abstract
    A novel emergency evacuation model based on a modified Particle Swarm Optimization was presented. The Linear Weight Decreasing Particle Swarm Optimization was introduced to simulate individualpsilas movement. Compared with social force model and CA model, the new model well performed evacuation result. A prototype system of emergency evacuation simulation was implemented based on Geographic Information System (GIS) application framework. This prototype system simulated human behaviours in multi-exit evacuation environment. The result shows that some typical evacuation behaviors such as avoiding impact, queuing, congesting and herding are well performed and the model based on MPSO has good efficiency and practicability.
  • Keywords
    behavioural sciences computing; emergency services; geographic information systems; particle swarm optimisation; CA model; emergency evacuation simulation system; geographic information system; linear weight decreasing particle swarm optimization; multi-exit evacuation environment; particle swarm optimization-based human behavior modeling; social force model; Accidents; Automation; Computational modeling; Fires; Geographic Information Systems; Humans; Particle swarm optimization; Predictive models; Protection; Virtual prototyping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2008. ICIA 2008. International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-2183-1
  • Electronic_ISBN
    978-1-4244-2184-8
  • Type

    conf

  • DOI
    10.1109/ICINFA.2008.4607962
  • Filename
    4607962