Pregled bibliografske jedinice broj: 1091731
Methodology for Predicting Sector Capacity in Convective Weather Conditions
Methodology for Predicting Sector Capacity in Convective Weather Conditions // Engineering power : bulletin of the Croatian Academy of Engineering, 15 (2020), 2; 18-23 (domaća recenzija, članak, ostalo)
CROSBI ID: 1091731 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Methodology for Predicting Sector Capacity in Convective Weather Conditions
Autori
Andraši, Petar ; Radišić, Tomislav ; Antulov- Fantulin, Bruno ; Novak, Doris
Izvornik
Engineering power : bulletin of the Croatian Academy of Engineering (1331-7210) 15
(2020), 2;
18-23
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, ostalo
Ključne riječi
convective weather ; air traffic complexity ; sector capacity
Sažetak
Convective weather conditions limit airspace capacity and increase the complexity of air traffic. Currently, air navigation service providers calculate sector capacity using air traffic controller workload as reference. The aim of the research is to propose a method for predicting sector capacity in convective weather using air traffic complexity model. In this proposal existing air traffic complexity model should be remodeled to enable finer resolution of complexity results. Also, the model should be upgraded with a new type of indicator showing aircraft-weather interactions. The adopted air traffic complexity model, in combination with the trajectory prediction model and the Weather Ensemble Forecast, should be able to provide a statistical characterisation of sector capacity under impending convective weather conditions.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport
POVEZANOST RADA
Ustanove:
Fakultet prometnih znanosti, Zagreb
Profili:
Bruno Antulov-Fantulin
(autor)
Petar Andraši
(autor)
Doris Novak
(autor)
Tomislav Radišić
(autor)