Research of building fire evacuation based on improved multi-agent model
In order to reasonably guide the orderly evacuation of crowd under emergencies such as building fire to reduce the casualties,an improved multi-agent evacuation model was proposed.The modeling of evacuation environment was conducted combining with cellular automata,namely the individual occupying the cell space was regarded as an independent agent,then the crowd evacuation behavior strategy was designed as the evolutionary rule,and the cell and its attributes were encapsulated and expanded into an autonomous agent.The multi-agent evacuation algorithm realized the difference of individuals,and better reflected the influence of emotional infection(such as panic)among individuals,cooperative behavior,and experience degree on the evacuation behavior.The results show that the model is closer to reality and can intuitively reflect the influence of dif-ferent factors on evacuation.The research results can provide a reliable basis and practical reference value for the safety de-sign of public places and the formulation of emergency plans.
multi-agentcellular automatapersonnel evacuationemotional infectionbuilding fire
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