Modeling and Simulation With Operational Databases to Enable Dynamic Situation Assessment & Prediction
Contributor(s)WARPIV TECHNOLOGIES INC SAN DIEGO CA
KeywordsComputer Programming and Software
Military Operations, Strategy and Tactics
Command, Control and Communications Systems
*MISSION AREA ANALYSIS
AIR FORCE RESEARCH
ISR(INTELLIGENCE SURVEILLANCE AND RECONNAISSANCE)
CS(COMMAND AND CONTROL)
ATO(AIR TASKING ORDERS)
HPC(HIGH PERFORMANCE COMPUTING)
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AbstractThe Air Force Research Laboratory is investigating a next-generation planning capability that combines advanced optimization discrete-event modeling and simulation technologies with operational databases to enable dynamic situational assessment and prediction in a live effects-based dynamic Intelligence, Surveillance and Reconnaissance (ISR) Joint Command and Control (C2) environment. Combined capabilities were designed to facilitate dynamic re-planning in an effects-based C2 environment. The software developed for this effort provides a semi-automated planning system that suggest alternative courses of action when based on intelligence data re-planning is required. The plan is in the form of an Air Tasking Order (ATO) that declares mission objectives for aircraft assets. Measuring the effectiveness of a plan and determining when a plan has gone off course requires knowledge and representation of both the intended plan and real-world execution of the intended plan over time. This document captures the software design for a next-generation dynamic situational assessment and prediction capability that combines the latest advances in modeling & simulation technologies with control theory algorithms, optimization techniques, and operational databases.
The original document contains color images.