Naslov
Probabilistic Analysis of Air Traffic in Adverse Weather Scenarios

Autori
Andrés, Eduardo ; García-Heras, Javier ; González, Daniel ; Soler, Manuel ; Radišić, Tomislav ; Andraši, Petar ; Valenzuela, Alfonso ; Franco, Antonio ; Nunez-Portillo, Juan ; Rivas, Damián

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of ICRAT 2022 Conference / - , 2022, 1-9

Skup
International Conference on Research in Air Transportation (ICRAT 2022)

Mjesto i datum
Tampa (FL), Sjedinjene Američke Države, 20.06.2022. - 23.06.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Trajectory Predictor ; FMP ; Demand ; Complexity ; Meteorological uncertainty

Sažetak
The presence of convective cells makes sector demand irregular and not easy to predict, increasing traffic complexity and reducing sector’s capacity. In this paper we present a novel, integrated trajectory predictor, which considers multiple sources of meteorological uncertainty at different temporal and geographical scales together with take-off uncertainty. The trajectory predictor is used to calculate the demand, presenting a multi sector traffic assessment of demand (and complexity under convective weather. The combination of probabilistic demand) the assessment of complexity due to weather constitutes the groundwork for the creation of a tool that will enable FMPs a better understanding of complexity in adverse weather conditions.

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport, Zrakoplovstvo, raketna i svemirska tehnika, Interdisciplinarne tehničke znanosti

POVEZANOST RADA