After statistical analysis of the database of a fire department covering eight years of consecutive incident records from January 2009 to December 2016, we developed a modelling and simulation (M&S) approach that could be replicated for fire departments across Canada. Our M&S framework involved two different simulation models running on separate platforms: (i) an Incident Generation Engine, which simulates the 'arrival' of emergency incidents, and (ii) a Response Simulation Model. The first model is a discrete event simulation model using CPNTools 4.0, generating inputs for the second model, which is an agent-based simulation model developed using AnyLogic. We discuss the principal elements of the two simulation models, and report on findings from our simulation experiments.
Modelling and simulation of a fire department's response to emergency incidents
Longo F.;
2018
Abstract
After statistical analysis of the database of a fire department covering eight years of consecutive incident records from January 2009 to December 2016, we developed a modelling and simulation (M&S) approach that could be replicated for fire departments across Canada. Our M&S framework involved two different simulation models running on separate platforms: (i) an Incident Generation Engine, which simulates the 'arrival' of emergency incidents, and (ii) a Response Simulation Model. The first model is a discrete event simulation model using CPNTools 4.0, generating inputs for the second model, which is an agent-based simulation model developed using AnyLogic. We discuss the principal elements of the two simulation models, and report on findings from our simulation experiments.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
