
Smart Systems for Scenarios Simulation and Response
Abstract
Focus Area
Command, Control and Interoperability
Objectives
This project will integrate a set of related projects to create a federated smart system for scenarios simulation and response (S4R). The S4R will provide a full spectrum modeling system from physical environments involving sensing, terrain, weather and related effects (e.g., for dispersion of bio-chemical events) to data fusion, visualization and modeling of the psychological and social impacts of these events. This will demonstrate the ability to develop hypothesized threat scenarios, understand the physical, psychological and social impacts of the hypothesized threats, and investigate the effects of planned interventions and reactions. This provides the basis for improved command and control for a multitude of tactical situations including homeland defense and all hazards incident response.
Approach
The Pennsylvania State University will leverage an on-going internal set of projects to develop an integrated S4R capability. The projects include:
- development of incident (threat/response scenarios)
- use of advanced geographical information systems and visual analytics for situation assessment and visualization
- physics-based modeling to create tools of plume dispersion and related effects
- human effects modeling of effects of chem/bio interactions with humans
- socio-psychological modeling to predict the behavior of individuals and crowds in response to crisis situations
- implementation of decision support systems for quantitative evaluation of threats and responses
- exploration of mitigation and response using living laboratory environment and team-based intelligent agents for cognitive aid.
Anticipated Results
The result of this project will be an integrated set of open source software for use in simulation, training, and research. The Web-based, implemented system will be modular, composable and extensable. The federated system will be demonstrated using local, state-wide, and national scenarios.
Benefits
Upon completion, this project will significantly improve the ability of analysts to understand the nature of homeland security threats, model the physical-to-social impacts, and explore the mitigation effects of various decisions and reactions. Such a capability will support crisis management exercises and investigations of new models, tools, collaboration and cognitive aids and decision support systems to support system designers, operational personnel and researchers.
Application to Homeland Security
Emergency Operations Center scenario simulations.
Technologies
- Data Fusion
- Fuzzy Logic
Publications/Talks
- Pending
Contact the Investigators
David Hall, College of Information Sciences and Technology
Michale McNeese, College of Information Sciences and Technology
Isaac Brewer, College of Information Sciences and Technology
John Yen, College of Information Sciences and Technology
Sue Ellen Haupt, Applied Research Lab
Richard Tutwiler, Applied Research Lab