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Integrated Trajectory Information Processing and Management for Aircraft Safety (ITIPS)


University of New Orleans/Louisiana State University/Southern University/NASA DRC, Aeronautics Research Mission Directorate

The goal of the Louisiana Board of Regents’ EPSCoR-funded research effort is to develop and securely integrate algorithms that better process real-time data about aircraft in our skies. Many will have practical impact upon our nation’s NextGen air traffic management system: algorithms that predict the trajectories of aircraft; how much space between aircraft is needed for safe flight; how to predict and avoid collisions, etc. The team met the goals and objectives set for this second year of the project. Accomplishments include: (a) theory and algorithm development for the joint decision and estimation (JDE) approach to integrated trajectory prediction (TP) and intent inference and verification (IIV), and for variable-structure multiple-model estimation for trajectory prediction; (b) methodological development for a multiple-model based statistical approach for conflict detection (CD) and alerts as well as collision avoidance; (c) theory and algorithm development for consensus and networked control of heterogeneous multi-agent systems for air traffic management; and (d) methodology and algorithm development for diagnostics, prognostics, and monitoring of aircraft conformance and health management. Our research also focused on the security of NextGen’s data networks. We have investigated fast adaptive sequential methods for early detection of network intrusions aimed at preventing or lowering their potential damage. We proposed analytic and computational methods for designing multistage, multi-hypothesis testing schemes for detecting network intrusions such as ``portscans’’ and “denial of service” (DoS) attacks. Our techniques focus on reducing detection times for wide variations of traffic parameters while guaranteeing fewer false alarms. We continue collaborations with several small companies for technology transfer, including ARCON Corporation (Waltham, MA), FORSUGO Hi-cell (Marrero, LA), Intelligent Fusion Technology (Germantown, MD), ObjectVideo (Reston, VA), and Propagation Research Associates (Marietta, GA). Several joint proposals for collaboration have been submitted, based partially on this NASA project.

Dr. X. Rong Li, Science PI, Research Professor, University of New Orleans

Dr. Kai Goebel, Ph.D, NASA Technical Monitor, Ames Research Center

NASA EPSCoR Stimuli 2014-15



EPSCoR Stimuli 2014-15  

NASA Office of Education’s Aerospace Research & Career Development (ARCD) is pleased to release NASA EPSCoR Stimuli, a collection of univers...

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