Agent-based simulation of a fire department’s response to emergency incidents: an updated model

A. Solis, J. Nosedal-Sanchez, A. Asgary, F. Longo, Deryn Rizzi, Antonio Briga, Antonella Castagna, B. Zaccaro
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引用次数: 2

Abstract

A modelling and simulation (M&S) approach was earlier developed, following statistical analysis of the emergency incident database of the Vaughan Fire & Rescue Service covering eight years of consecutive incident records from January 2009 to December 2016. The M&S framework, which could potentially be replicated for fire departments across Canada, 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 current report covers only an update of the Response Simulation Model, an agent-based model developed using AnyLogic. Two issues associated with the earlier Response Simulation Model have specifically been addressed and resolved by the updated model. We report on findings from our simulation experiments based on the updated model.
消防部门对紧急事件响应的基于agent的模拟:更新模型
在对沃恩消防和救援服务的紧急事件数据库(涵盖2009年1月至2016年12月连续8年的事件记录)进行统计分析后,早期开发了建模和模拟(M&S)方法。M&S框架有可能在加拿大各地的消防部门复制,它涉及在不同平台上运行的两种不同的模拟模型:(i)事件生成引擎,模拟紧急事件的"到达",以及(ii)响应模拟模型。当前的报告仅涵盖了响应仿真模型的更新,这是一个使用AnyLogic开发的基于代理的模型。与早期响应模拟模型相关的两个问题已经被更新的模型明确地处理和解决了。我们报告了基于更新模型的模拟实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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