Agent-Based Simulation Model for Managing Disruptions

An essential activity in managing an emergency is planning, preparation, and training for it. The harmful consequences can be diminished if accurate safety metrics are incorporated before. This leads to the simulation of an emergency event which is required to devise a roadmap, evaluate the effectiveness of numerous possible scenarios and thereby mitigate the damages significantly. An agent-based modeling system is implemented to simulate the actions and interactions of independent agents with a motive to assessing their effects and behavior on the emergency situation as a collection. When a region is affected by a disruptive incident, two key interlinked communities usually respond. These two communities are classified asa. Professionals this community includes police or firemen. They have higher authority and are well-trained to manage a disruptive event. b. Ad Hoc Community this includes regular citizens. They are usually equipped with less or no training and must be protected during a disruptive event. The response of the above two communities is not studied well enough. This paper introduces an agent-based modeling method to simulate a fire disaster in a region. The task to handle a disruptive event is based on several rules and constraints. Moreover, it provides different testing scenarios of a disruptive event at no expense. It captures the responses of the community system and professionals system to achieve a clear understanding of the connections and relations between them.