Aligning wildfire management resourcing decisions with operational needs

E. Davis, Christopher D. Johnson, D. J. Levin, Rachel C. Morowitz, D. K. Peterson, Michael R. Pouy, V. Volovoi
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Abstract

A hierarchical modeling and simulation (M&S) framework can help federal agencies integrate the myriad business resourcing decisions they face as unmanned aerospace vehicle (UAV) systems are deployed within their federally authorized charters. An integrated M&S method offers a pragmatic approach to leveraging the power of analytical techniques and coping with the complex support requirements of modern macrosystems. In this paper, we demonstrate the benefits of incorporating several agent-based modeling (ABM) enhancements for UAV route planning into a hierarchical M&S structure.
使野火管理资源决策与业务需求保持一致
分层建模和仿真(M&S)框架可以帮助联邦机构整合他们所面临的无数业务资源决策,因为无人航天飞行器(UAV)系统部署在联邦授权的宪章中。集成的M&S方法提供了一种实用的方法来利用分析技术的力量,并处理现代宏观系统的复杂支持需求。在本文中,我们展示了将几种基于智能体的建模(ABM)增强技术用于无人机路线规划到分层M&S结构中的好处。
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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