Innaxis – Innaxis.aero

Assessing the potential of digitalisation within the European mobility system: where do we go from here?

Written by Innaxis on 30 March 2022. Posted in Camera.

Author: Ulrike Schmalz (BHL) Introduction Today’s world is digital and data-driven and the change has been rapid, but is still ongoing. This digital transformation (or “digitalisation”) has altered many parts of our daily lives and offers ample potential for improving Europe’s...

A machine learning model for the prediction of reactionary delay

Written by Innaxis on 16 December 2021. Posted in Dispatcher3.

Author: Paolino De Falco (UoW) Dispatcher3 aims at identifying and analysing the differences between planned and executed flights providing a support for fleet management decisions. One of the main actors involved in the fleet management is the duty manager whose main responsibility is to assess...

Pilot3 Optimisation Architecture

Written by Innaxis on 16 December 2021. Posted in Pilot3.

Author: Jovana Kuljanin (UPC) Pilot3 could be triggered at some point of the departure procedure or when the aircraft is already en-route. The system will optimise the aircraft trajectory from the current aircraft state (i.e., the moment Pilot3 is triggered) down to reaching FL100 at the proximity...

Estimating operational uncertainty in Pilot3

Written by Innaxis on 6 September 2021. Posted in Pilot3.

Author: Clara Argerich (Innaxis) Operational estimators that shed light on arrivals Pilot3 software is a tool that optimizes trajectories based on factors that affect flight performance—everything from possible network disruptions, to bad weather and so on. For the purposes of this post, we will...

The particularities of Verification and Validation for Machine Learning data driven projects

Written by Innaxis on 30 July 2021. Posted in Dispatcher3.

Authors:Jovana Kuljanin & Julia de Homdedeu (UPC) How does verification and validation approach in machine learning differ from the canonical verification and validation approach? Dispatcher3 is a data-driven project which requires a distinctive approach in the verification and validation. Unlike...

Identification of data needs for Dispatcher3

Written by Innaxis on 23 July 2021. Posted in Dispatcher3.

Author: Damir Valput (Innaxis) The main objective of Dispatcher3 is to leverage historical data and machine learning techniques to support flight management activities prior to departure, as described in our first blog post. The airline dispatchers assist in flight planning of individual operations...

Definition of Scenarios in the light of Agile methodology

Written by Innaxis on 18 December 2020. Posted in Pilot3.

AUTHOR: Jovana Kuljanin (UPC) Pilot3 will be developed following some of the principles of the Agile paradigm. The methodology relies on the idea that different prototype versions are incrementally developed by adding new functionalities into each version, until we reach the fully functional prototype....

Dispatcher3: Data at the core of flight dispatching

Written by Innaxis on 29 September 2020. Posted in Dispatcher3.

Author: Luis Delgado (UoW) An experienced dispatcher will have a good understanding on the differences between planned and executed flight plans. These differences will be driven by uncertainty factors such as, which runway is the one that will be used at arrival, what is the actual weather that...

How can we select a suitable multi-criteria optimisation method among the dozens existing ones?

Written by Innaxis on 4 August 2020. Posted in Pilot3.

AUTHOR: Adeline de Montlaur Pilot3 aims at providing a software engine model for supporting crew decisions in the context of operations for civil aircraft, with a better understanding of the stakes of the current mission, from the perspective of the business objectives of the airline (read more) To...

Optimisation objectives in Pilot3

Written by Innaxis on 28 July 2020. Posted in Pilot3.

AUTHOR: Luis Delgado Airlines’ objectives for the operations of their flights, as defined in their flight policies, are translated into operational Cost Indexes (CIs). The Cost Index represents the ratio between cost of time and cost of fuel, hence a CI of zero in the Flight Management System...

Author: Innaxis