Title :
Real-time decision aiding: aircraft guidance for wind shear avoidance
Author :
Stratton, D.A. ; Stengel, Robert
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Princeton Univ., NJ, USA
Abstract :
Modern estimation theory and artificial intelligence technology are applied to the Wind Shear Safety Advisor, a conceptual airborne advisory system to help flight crews avoid or survive encounter with hazardous low-altitude wind shear. Numerical and symbolic processes of the system fuse diverse, time-varying data from ground-based and airborne measurements. Simulated wind-shear-encounter scenarios illustrate the need to consider a variety of factors for optimal decision reliability. The wind-shear-encounter simulations show the potential of the Wind Shear Safety Advisor for effectively integrating the available information, highlighting the benefits of the computational techniques employed.<>
Keywords :
Bayes methods; aerospace expert systems; aircraft control; decision support systems; knowledge based systems; probability; safety systems; state estimation; wind; Wind Shear Safety Advisor; airborne advisory system; aircraft guidance; artificial intelligence technology; computational techniques; estimation theory; hazardous low-altitude wind shear; numerical processes; optimal decision reliability; real-time decision aiding; symbolic processes; time-varying data; wind shear avoidance; wind-shear-encounter simulations; Aerospace engineering; Aerospace safety; Air safety; Aircraft; Airports; Computational modeling; Fuses; NASA; Time factors; Wind forecasting;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
