The Boeing Company

Andrea Sanzone

Rahul Ashok

Rowena Loh

Samantha Ann Schwartz

Stephen Solomon Altus

Garoe Gonzalez

Jakub Dziecielski

Michael Christian Büddefeld

Vinko Vidakovic

Hendrik Schoeniger

Theresa Emsbach

Kennedy C Nwankwo

Jwalant Dipakkumar Vaishnav

Maximilian Peter Juengst

Salin Maharjan

Forest Sutton

Systems and methods for terminal procedure prediction for flight planning include obtaining, at a processor, input data corresponding to an upcoming flight of an aircraft; obtaining, at the processor, predicted data corresponding to the upcoming flight; and processing, at the processor, the input data and the predicted data to obtain a terminal procedure prediction associated with the upcoming flight, the terminal procedure prediction at least partially based on flight plans of historical flights having conditions similar to the input data and the predicted data.

Systems and methods for terminal procedure prediction for flight planning

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

A method includes receiving, at one or more processors, airport runway geospatial data indicating a geospatial area associated with an airport runway and an altitude associated with the airport runway. The method also includes receiving aircraft location data associated with an aircraft. The aircraft location data indicates a position of the aircraft at different times and an altitude of the aircraft at different times. The method further includes determining whether the aircraft performed a touch-and-go operation on the airport runway based on the airport runway geospatial data and the aircraft location data. The touch-and-go operation includes the aircraft contacting the airport runway and subsequently taking off from the airport runway without stopping. The method also includes generating a notification in response to a determination that the aircraft performed the touch-and-go operation.

Aircraft touch-and-go detection

A system includes one or more control units configured to determine one or more fuel consumption models for an aircraft. A method includes determining, by one or more control units, one or more fuel consumption models for an aircraft. A non-transitory computer-readable storage medium comprising executable instructions that, in response to execution, cause one or more control units comprising a processor, to perform operations including determining one or more fuel consumption models for an aircraft.

Systems and methods for determining real time fuel consumption information of an aircraft

A computing device is provided comprising a processor and a memory storing instructions executable by the processor. The instructions are executable by the processor to monitor location information for a plurality of aircraft in a geographic region. Geospatial data is received for the geographic region. The geospatial data comprises, for each of one or more physical objects in the geographic region, a virtual representation of the physical object. The instructions are further executable to determine that the location information meets a threshold difference compared to expected location information for a selected virtual representation of a physical object. An indication of an anomaly is output based at least on the determination that the location information meets the threshold difference.

Anomaly determination in geospatial data

A method includes detecting, by a processing circuit, a high-speed rejected takeoff has occurred by determining an aircraft has accelerated to at least a first preset indicated airspeed value and then by determining the aircraft has decelerated below at least a second preset indicated airspeed value and the aircraft is on the ground. The method also includes detecting, by the processing circuit, an event other than the high-speed rejected takeoff has occurred by determining the aircraft has not accelerated to at least the first preset indicated airspeed value, or by determining the aircraft has accelerated to at least the first preset indicated airspeed value and the aircraft has not decelerated below at least the second preset indicated airspeed value, or by determining the aircraft is airborne.

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Frankfurt-am-Main, Germany

Andrea Sanzone