Integration of DST's for non-conflicting end-to-end flight scheduling
In this SBIR effort we propose an innovative approach for the integration of Decision Support Tools (DSTs) for increased situational awareness, improved cooperative scheduling and collaborative decision-making in all parts of the air space. We propose to investigate two types of integration models based on the extent and feasibility of the level of integration and use appropriate game theoretic approaches to analyze these models. The proposed models are: (i) Data-sharing DST integration model: In this model, DSTs will primarily share data that is required for each DST to take a decision before an event happens. Based on the shared data each DST acts independently (ii) Interacting DST integration model: In this model, DSTs not only share data but also advise each other to act in such a way to reduce the level of conflict. Tools based on repeated strategic games and cooperative bargaining games will be used. We primarily focus on integrating Traffic Management Advisories (TMAs) across multiple centers as the application domain for the Phase I effort.
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Intelligent Automation, Inc.
2 Research Place, Suite 202 Rockville, MD 20855
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