A hybrid modelling framework to simulate disaster response decisions. (1st January 2012)

• Record Type: Journal Article
• Authors: Wu, Shengnan; Shuman, Larry J.; Bidanda, Bopaya; Balaban, Carey D.; Sochats, Ken
• Is Part Of: International journal of advanced intelligence paradigms. Volume 4:Number 1(2012)
• Page Start: 83
• Page End: 102
• Publication Date: 2012-01-01
• Subjects: discrete event simulation -- DES -- agent-based simulation -- ABS -- hybrid simulation -- disaster response -- geographic information system -- GIS -- rule-based system; Artificial intelligence -- Periodicals; Machine theory -- Periodicals; Fuzzy logic -- Periodicals; 006.305
• Languages: English
• ISSNs: 1755-0386

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.