Abstract: Disclosed herein are methods and systems for dynamically calculating a total fuel uplift quantity for an aircraft scheduled to fly a flight route. In one aspect, a method comprises: (a) polling a plurality of sources to receive data indicative of: (i) real-time weather conditions in remaining flight sectors in the flight route, and (ii) delay information in the remaining sectors; (b) calculating for the remaining sectors a respective fuel consumption factor; (c) based on (i) respective fuel quotations in the remaining sectors, (ii) the real-time weather conditions, and (iii) the delay information, generating a linear model for calculating a respective fuel uplift quantity at arrival stations in the remaining sectors; (d) calculating using the linear model the respective fuel uplift quantity at the arrival stations; and (e) periodically performing operations (a)-(d) to update a calculation of the respective fuel uplift quantities to account for changing factors.

Abstract: Disclosed herein are methods and systems for dynamically calculating a total fuel uplift quantity for an aircraft scheduled to fly a flight route. In one aspect, a method comprises: (a) polling a plurality of sources to receive data indicative of: (i) real-time weather conditions in remaining flight sectors in the flight route, and (ii) delay information in the remaining sectors; (b) calculating for the remaining sectors a respective fuel consumption factor; (c) based on (i) respective fuel quotations in the remaining sectors, (ii) the real-time weather conditions, and (iii) the delay information, generating a linear model for calculating a respective fuel uplift quantity at arrival stations in the remaining sectors; (d) calculating using the linear model the respective fuel uplift quantity at the arrival stations; and (e) periodically performing operations (a)-(d) to update a calculation of the respective fuel uplift quantities to account for changing factors.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to improve aircraft traffic control. An example apparatus includes a network interface to obtain air route traffic (ART) data associated with aircraft flying in airspace sectors during a first time period, a database controller to generate a first database entry by mapping extracted portions of the ART data to a first database entry field of the first database entry, and ART sector services to execute machine learning (ML) models using database entries to generate first aircraft traffic counts of the airspace sectors during the first time period, in response to selecting a first ML model of the ML models based on the first aircraft traffic counts, execute the first ML model to generate second aircraft traffic counts during a second time period, and transmit the second aircraft traffic counts to a computing device to cause an aircraft flight plan adjustment.

Abstract: Disclosed herein are methods and systems for dynamically calculating a total fuel uplift quantity for an aircraft scheduled to fly a flight route. In one aspect, a method comprises: (a) polling a plurality of sources to receive data indicative of: (i) real-time weather conditions in remaining flight sectors in the flight route, and (ii) delay information in the remaining sectors; (b) calculating for the remaining sectors a respective fuel consumption factor; (c) based on (i) respective fuel quotations in the remaining sectors, (ii) the real-time weather conditions, and (iii) the delay information, generating a linear model for calculating a respective fuel uplift quantity at arrival stations in the remaining sectors; (d) calculating using the linear model the respective fuel uplift quantity at the arrival stations; and (e) periodically performing operations (a)-(d) to update a calculation of the respective fuel uplift quantities to account for changing factors.

Abstract: Disclosed herein are methods and systems for dynamically calculating a total fuel uplift quantity for an aircraft scheduled to fly a flight route. In one aspect, a method comprises: (a) polling a plurality of sources to receive data indicative of: (i) real-time weather conditions in remaining flight sectors in the flight route, and (ii) delay information in the remaining sectors; (b) calculating for the remaining sectors a respective fuel consumption factor; (c) based on (i) respective fuel quotations in the remaining sectors, (ii) the real-time weather conditions, and (iii) the delay information, generating a linear model for calculating a respective fuel uplift quantity at arrival stations in the remaining sectors; (d) calculating using the linear model the respective fuel uplift quantity at the arrival stations; and (e) periodically performing operations (a)-(d) to update a calculation of the respective fuel uplift quantities to account for changing factors.