Aligning wildfire management resourcing decisions with operational needs

Author

Davis, Ericson R. ; Johnson, Christopher D. ; Levin, David J. ; Morowitz, Rachel C. ; Peterson, David K. ; Pouy, Michael R. ; Volovoi, Vitali

Author_Institution

LMI, McLean, VA, USA

fYear

2014

fDate

7-10 Dec. 2014

Firstpage

1493

Lastpage

1504

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.

Keywords

autonomous aerial vehicles; emergency management; multi-agent systems; path planning; wildfires; ABM; UAV route planning; agent-based modeling enhancements; business resourcing decisions; federal agencies; federally authorized charters; hierarchical modeling and simulation framework; integrated M&S method; operational needs; unmanned aerospace vehicle systems; wildfire management resourcing decisions; Business; Fires; Heating; Monitoring; Optimization; Sociology; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Simulation Conference (WSC), 2014 Winter

Conference_Location

Savanah, GA

Print_ISBN

978-1-4799-7484-9

Type

conf

DOI

10.1109/WSC.2014.7020002

Filename

7020002