The Boeing Company

Jakub Dziecielski

Jonasz Rudnik

Piotr Mazur

Aleksander Rydzewski

Michal Ruminski

Anna Meringer

Jason William Clark

Andrea Sanzone

Rahul Ashok

Rowena Loh

Garoe Gonzalez

Michal Kowalewski

Piotr Marian Mazuz

Anna Neumann

Jonasz Rudnick

A system for determining a turnaround time for an aircraft at an airport includes one or more processors, one or more geospatial databases storing geospatial data, and a memory coupled to the one or more processors and the one or more geospatial databases. The memory stores data into a database and program code that, when executed by the one or more processors, causes the system to monitor a wireless data stream indicating aircraft location data. In response to determining the aircraft is idle and is located within an area where a unique parking stand is located, the system establishes a current position timestamp as an on-block time. In response to determining the aircraft is moving out of the unique parking stand, the system determines a position timestamp when the aircraft was last idle, and sets the position timestamp collected when the aircraft was last idle as an off-block time.

System for determining aircraft turnaround time based on geospatial data and aircraft location data

The present disclosure provides for holding pattern detection and management by identifying from flight data for an aircraft that the aircraft has performed a first turn, followed by a leg traverse, and followed by a second turn in a direction circuitous to the first turn and indicating that the aircraft is in a holding pattern and/or identifying from flight data that the aircraft has passed within a predefined distance of a fixpoint and in response to identifying that the aircraft has performed a turn in a known direction associated with a historical holding pattern charted from the fixpoint, indicating that the aircraft is in a holding pattern.

Holding pattern detection and management

The present disclosure provides predictive flight diversion management by: receiving weather data for a zone of air traffic control; receiving flight tracking data for a plurality of aircraft travelling in the zone of air traffic control; determining capacity rates for a plurality of airports in the zone of air traffic control, based on the flight tracking data; and in response to receiving a diversion trigger from a predictive model predicting a diversion event: determining, based on the weather data, the flight tracking data, and the capacity rates, a subset of aircraft from the plurality of aircraft that are to be diverted from original destinations in the zone of air traffic control to new destinations.

Predictive flight diversion management

A system and a method include at least one control unit that determines a de-icing time for an aircraft within a de-icing area of an airport, predicts a de-icing time for an aircraft within a de-icing area of an airport, schedules de-icing times for a plurality of aircraft within a de-icing area of an airport, and/or predicts demand for future de-icing operations of aircraft within a de-icing area of an airport.

Aircraft de-icing determination systems and methods

A method to reduce aircraft fuel consumption includes determining whether a particular aircraft belongs to a runway queue associated with one or more aircraft waiting to take-off from a runway of an airport based on (i) real-time aircraft geographic location information associated with the particular aircraft and (ii) a graph associated with features of the airport. An amount of time the particular aircraft spends in the runway queue before taking off from the runway can be determined. A runway queue take-off delay associated with the runway queue can be determined based at least in part on the amount of time the particular aircraft spends in the runway queue. The runway queue take-off delay can be communicated to a controller terminal of the airport to facilitate routing a different aircraft to a different runway queue associated with a shorter runway queue take-off delay to reduce fuel consumption by the different aircraft.

Method and system for reducing aircraft fuel consumption

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Gdansk, Poland

Jakub Dziecielski