Modeling and Simulation With Operational Databases to Enable Dynamic Situation Assessment & Prediction
Abstract
The 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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 2010
- Accession Number
- ADA532874
Entities
People
- Craig Lammers
- Jeffrey S. Steinman
Organizations
- WarpIV Technologies (United States)