- May 24, 2017
- Posted by: Jeff Kish
- Category: AI & Advanced Computing News, Complex System Analysis News, Image, Video & Text Analytics News, Latest News, Modeling, Simulation & Visualization News, Research & Development News
NASA is interested in enhancing system capacity by either using existing aviation assets efficiently, or expanding capacity through new technology or smart infrastructure planning. To address this, IAI will continue to develop a Stakeholder Web-based Interrogable Federated Toolkit (SWIFT) program that answers vital questions about existing projects, while facilitating the involvement of stakeholders to enhance new projects. Existing models and insights from social media will be integrated into this web-based tool that allows NASA and other stakeholders to conveniently ask and answer “what if” questions about various topics. The chief innovation of SWIFT is the development of a Predictive Query Language (PQL) that populates databases with future information provided from aviation models, along with integration of social media networking to augment research, with an overarching web-based system for finding and generating aviation-oriented research questions. SWIFT will aid stakeholders in their analysis of current trends and future concepts. IAI will use SWIFT to investigate the Trajectory-Based Operations concept, in particular how the future state of the National Airspace (NAS) as predicted by the federated models will be different with TBO than without it. SWIFT will be an effective user interface for the SMART-NAS system, and provide researchers with access to results from complicated and hard-to-use models. SWIFT could also enable FAA analysts to run a system-wide study using the NASA-developed ACES model. SWIFT, with its embedded PQL statements, can provide a common language of communication between analysts from different organizations using publicly available and proprietary models. SWIFT will also have applications in the future when desktop analysis engines will be common, analysts will regularly use PQL systems, and data mining will use model-based future predictions to create future data for uncovering future trends.