Dispatcher3 – Innaxis.aero

A machine learning model for the prediction of reactionary delay

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…

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

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. …

Identification of data needs for 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 operati…

Dispatcher3: Data at the core of flight dispatching

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…