A hybrid modelling framework to simulate disaster response decisions

  • Authors:

  • Shengnan Wu;Larry J. Shuman;Bopaya Bidanda;Carey D. Balaban;Ken Sochats

  • Affiliations:

  • Department of Operations Research and Decision Support, American Airlines, 4333 Amon Carter Blvd. MD 5358, Fort Worth, TX 76155, USA.;Department of Industrial Engineering, Swanson School of Engineering, University of Pittsburgh, 323 Benedum Hall, 3700 O'Hara St., Pittsburgh, PA 15261, USA.;Department of Industrial Engineering, Swanson School of Engineering, University of Pittsburgh, 1048 Benedum Hall, 3700 O'Hara St., Pittsburgh, PA 15261, USA.;Department of Otolaryngology, Neurobiology, Communication Sciences and Disorders, and Bioengineering, Center for National Preparedness, University of Pittsburgh, 107 Eye and Ear Institute, 203 Lot ...;Department of Information Science and Telecommunications, Visual Information Systems Center, Center for National Preparedness, University of Pittsburgh, 707 SIS, Pittsburgh, PA 15260, USA

  • Venue:
  • International Journal of Advanced Intelligence Paradigms
  • Year:
  • 2012

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Abstract

Computer simulations are designed to imitate detailed system operations. They are utilised to evaluate system performance, predict future behaviour, or compare various policy alternatives. Two main streams exist in current simulation research and practise: discrete event simulation (DES) and agent-based simulation (ABS). This paper describes a unique simulation modelling scheme to combine DES and ABS on one integrated platform in order to take advantages of and eliminate the disadvantages of both methods. The hybrid simulation system was designed and developed to study various disaster response problems. Its successful modelling of a major US city proves the capability of the hybrid method for constructing efficient, flexible large-scale simulations.