Abstract: A system for managing the operations of a commercial transport vehicle for a selected journey leg, wherein a qualified registered user can prepare a vehicle operations plan pertaining to a selected journey leg through a vehicle operations planning tool displayed via a GUI running on a client application based on at least one configuration file associated with the qualified registered user's qualification type and the selected journey leg retrieved by a calling module. The system further comprises a notification module configured for extracting the values assigned to the vehicle operations plan by the qualified registered user and further configured for selectively notifying qualified registered users linked to the selected journey leg and concerned with the extracted values.

Abstract: A method for handling aircraft data, includes the steps of receiving an input aircraft model and/or operational data; comparing the model and/or data with reference data previously obtained by machine learning performed on large collections of data of recorded flights, wherein the reference data defines safe boundaries for one or more aircraft models and/or operations data. Developments describe “big data” aspects, comprising aircraft or flight data of a plurality of airlines about a plurality of aircraft, engines, flight contexts, aircraft configurations and meteorological data; the handling of calculations about performances, weight and balance, fuel, crew duty times; etc., the use of machine deep learning (unsupervised pre-training); comparisons against a superset of data generated out from the collected large collections of data, with or without human intervention; automated validation tests of aircraft models and associated data. Hardware and software aspects are described.