Predicting Air Traffic Congestion under Uncertain Adverse Weather
Juan Nunez-Portillo,
Alfonso Valenzuela,
Antonio Franco
et al.
Abstract:This paper presents an approach for integrating uncertainty information in air traffic flow management at the tactical phase. In particular, probabilistic methodologies to predict sector demand and sector congestion under adverse weather in a time horizon of 1.5 h are developed. Two sources of uncertainty are considered: the meteorological uncertainty inherent to the forecasting process and the uncertainty in the take-off time. An ensemble approach is adopted to characterize both uncertainty sources. The metho… Show more
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