Title :
Probabilistic forecasting of airport capacity
Author_Institution :
Sensis Corp., Campbell, CA, USA
Abstract :
Substantial research efforts in recent years have answered many questions regarding the interaction of weather and air traffic management (ATM), including the translation of weather to capacity impact within the National Airspace System (NAS). But important gaps remain and significant improvements are still possible. One such area of improvement is the forecasting of airport capacity. There is a need for the translation of airport weather to airport configuration, capacity and reconfiguration events. This paper describes how we use both air traffic management and meteorological data to model the impact of weather on airport capacity. These impacts can be used, along with en route airspace impact models, in traffic flow management solutions.
Keywords :
air traffic; airports; National Airspace System; air traffic management; airport capacity forecasting; airport configuration; airport weather translation; airspace impact models; meteorological data; probabilistic forecasting; traffic flow management; Airports; Atmospheric modeling; Predictive models; Wind forecasting;
Conference_Titel :
Digital Avionics Systems Conference (DASC), 2010 IEEE/AIAA 29th
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4244-6616-0
DOI :
10.1109/DASC.2010.5655497