• DocumentCode
    3534296
  • Title

    Agent-based simulation for urban emergency response planning

  • Author

    Ma, Jinfeng ; Mao, Feng ; Zhou, Wensheng

  • Author_Institution
    Sch. of Archit., Tsinghua Univ., Beijing, China
  • Volume
    5
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    The complexity inherent in urban emergency response brings lots of challenge for decision making. An effective test bed for analyzing the dynamics of emergency response for different scenarios and evaluating the strength of rescue strategies is crucial for improving disaster planning, preparedness and mitigation. Computer simulation is becoming an increasingly important tool which provides an effective and low-cost approach to address this problem. The agent based approach has been accepted in various areas and multi agent systems have constituted one of the key technologies in disaster rescue simulations, since interactions with human activities should be implemented within them. In this paper agent-based disaster simulation system and its components are discussed, is s u es t h at simulation system will have when it is applied for practical usages are also discussed. These discussions will delve into future research topics in developing practical disaster simulation systems.
  • Keywords
    emergency services; multi-agent systems; planning (artificial intelligence); agent based disaster simulation system; computer simulation; disaster planning; multiagent systems; urban emergency response planning; Artificial intelligence; Autonomous agents; Cities and towns; Decision making; Disaster management; Humans; Robustness; Testing; Time measurement; Urban planning; gis; multi agent system; urban emergency response;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5417698
  • Filename
    5417698