System and method for estimating aircraft flight delay
View Patent ↗A method and system estimate, in real time, the amount of any delay in departure of an aircraft flight from an airport. Various embodiments include receiving in a first computer process a conditions input that includes at least one member of a set including departure airport conditions, arrival airport conditions, and fleet conditions; and estimating in a second computer process the amount of delay based on the conditions input. User interfaces and data structures are also provided.
1. A method of deriving, as a function of weather, the capacity of an airport to handle aircraft departures and aircraft arrivals, the method comprising:
providing historical flight data for airport, over a plurality of specified time intervals, including actual departures and actual arrivals, weather conditions, and demand for departures and demand for arrivals;
selecting occasions in such intervals when demand for departures and demand for such arrivals exceeds actual arrivals and actual departures;
quantizing weather conditions for such occasions to produce quantized data identifying weather conditions for each such occasion; and
utilizing statistical analysis of the historical data by identifying weather variables having a statistically significant relationship to numbers of departures or arrivals in such intervals to determine capacity of the airport to handle aircraft departures and aircraft arrivals as a function of quantized weather values.
2. A method according to claim 1 , wherein utilizing statistical analysis to determine capacity of the airport includes assuming, for each quantized weather value, a total capacity for departures and arrivals, such total capacity being the sum of arrival capacity and departure capacity.
3. A method according to claim 2 , wherein assuming such total capacity further includes assuming a priority for providing arrival capacity sufficient to service arrival demand ahead of providing departure capacity sufficient to service departure demand.
4. A method according to claim 1 , further comprising using weather variables identified as statistically significant as candidate variables in a multivariate statistical model to predict capacity.
5. A method according to claim 4 , further comprising combining categories of a variable to achieve predictive discrimination in numbers of departures or arrivals in instances when the categories taken individually do not show significant predictive discrimination.