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Department of Geography
Dissertation Research Proposal: Susceptibility modeling & mission flight route optimization in a low threat, combat environment Brett J. Machovina University of Denver Department of Geography 11 June 2008
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Proposal Overview Goals Background Methods Conclusion
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Goals Develop a model to optimize flight routes
Hypothesis: GIS-enabled routes increase mission effectiveness by significantly reducing susceptibility Test the model results in relation to: Experience Expertise Familiarity Gender Age Terrain variability
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Background Survivability and susceptibility (Ball 2003)
PS = 1 – PK PK = PH*PKH PH = PA*PDA*PLD*PIL*PHI Flight route optimization modeling Operations research & stealth Pekelsma 1988 Geography & mission planning tools PFPS and FalconView (Bailey 2008) Rotorcraft Noise Model Behavioral geography Visualization, orientation, relations (Golledge & Stimson 1997)
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Background PFPS and FalconView
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Background RNM
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Methods Overview Optimized Mission Planning Airframe Limits
Survivability Research Current Instrument Meteorological (IMC) Data Current Wind Data Extensive and Current Temperature Data Optimized Mission Planning Airframe Limits Instructions GIS Noise Analysis Detectability Analysis GIS EM Visibility Analysis Elevation Data Real-time Threat Data Real-time Weather Data Threat (Road) Data Temperature Data Susceptibility Research
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Methods Study Areas
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Methods Study Areas
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Methods Model: Temp., Altitude & Helicopter Performance
DA = PA + (120 TV) DA = density altitude PA = pressure altitude 120 = the change in DA for 1 degree Celsius deviation from standard temperature TV = temperature variation from standard (15 degrees C at sea level) = Outside Air Temperature (OAT) – {15 - [(PA in ft/1000 ft)*2]} (HATS 1999: 2-17)
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Methods Model: Airframe Limits
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Methods Model: Visibility
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Methods Model: Combined Discrete Cost
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Methods Model: Corridor and Route
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Methods Validation GIS-enabled route vs. human route (n=45)
Total distance Turn point deviation from optimal route % points in optimal corridor % route in optimal corridor Difference in visibility footprint Difference in audibility footprint Origin and destination Sinuosity Directional mean, circular variance
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Conclusion Theory GIS modeling methods Direct application
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Timeline Completed coursework 2008 2009 Summer Fall Winter
Fundamental Geog Perspectives, Geog Research Methods, Adv. Geog Statistics, Urban Landscapes, Homeland Defense (GSIS), GIS Modeling, Research Identification*, Application Design & Production* 2008 Summer June: IRB, AFSPC July 7-12: data collection Dissertation Research Fall GIS Database Design, International Terrorism (GSIS) 2009 Winter Spatial Modeling, Ind. Study, 3rd World Defense Policy (GSIS) * Current course (SP qtr 2008)
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Timeline 2009 2010 Spring Summer Fall Winter
Geographic Information Analysis, GIS Seminar Comprehensive Exam Summer Dissertation Research Fall Dissertation Research, Special Topics in GIS 2010 Winter Dissertation Defense
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Methods GIS Route Human Route Back
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Methods Turn Point Deviation
GIS Route Human Route Deviation from closest GIS line segment Back
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Methods % of turn points in optimal corridor
Example: 60% of human-generated turn points fall within the optimal GIS corridor (dark green) Human Route GIS Route Back
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Methods % of route in optimal corridor
GIS Route Human Route Example: 64% of human route segments fall within the optimal GIS corridor (dark green) Back
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Methods Difference in visibility and audibility footprints
Visibility is yes/no Audibility will require a threshold Back
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Methods Origin and Destination
225 DM and CV? 135 DM and CV? Human Route GIS Route Back
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