30th Congress of the International Council of the Aeronautical Sciences

08 - Air Transport System Efficiency

A STUDY ON SAFETY ASSURANCE FOR INCREASINGLY AUTONOMOUS TRAFFIC FLOW MANAGEMENT SYSTEM

Y. Wu, University of Missouri St. Louis D of Maths and Computer Science, United States; T.A. Lauderdale, NASA Ames Research Center / Aviation Systems Division, United States; H. Chen, Johnson C. Smith University Computer Science & Engineering Dept., United States

Identify the safety requirements and the changes necessary in safety assurance methods and system architectures in an increasingly autonomous traffic management system, from historical, simulated data by neural network, Bayesian non-parametric and extreme value analysis tools. Reported the uncertainty quantification and propagation of the results and the sensitivity to the assumptions.


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