ICARUS Demonstrators

Four (4) real-life demonstrator cases, driven by stakeholders of the Aviation value chain belonging at different levels and domains, and bringing on board different kinds of pan-EU data, have been selected as the ICARUS demonstrators, including:

  • Demonstrator I: Improved airport capacity planning which is implemented by the Athens International Airport, one of the largest airports in Europe serving more than 20 million passengers annually. The AIA demonstrator aims at enabling capacity enhancement decisions that are directly targeted to the needs of the Athens International Airport, but shall also indirectly address interrelated problems that aviation stakeholders operating in AIA (such as airlines and ground handlers) currently face. In order to understand the current airfield performance and baseline capacity in AIA, and to properly perform an analysis that shall lead to improved planning of flight schedules per season, historical data for the runway, aprons, gates, aircraft stands, gates, terminals and local airspace (from all airport stakeholders and certified aviation organization sources) shall be leveraged together with aviation open data sources. Through the ICARUS platform, AIA plans to explore and acquire additional aviation data and run various descriptive and predictive analytics to address problems such as: Capacity Modelling, Airport Traffic Forecasting, Flight Delay Prediction, and Position and Slot Allocation / Scheduling, that are all interrelated to the core Airport capacity problem.
  • Demonstrator II: Enhanced routes analysis of aircraft for improved fuel consumption optimisation and pollution awareness, implemented by PACE and TXT, aerospace solutions providers with extensive customer lists in the aviation domain. In detail, the PACE demonstrator leverages the Pacelab Mission Suite, a commercially available software solution for route analysis, aircraft performance and economic investigations, that acts as an aviation data provider and aviation data and service asset consumer in ICARUS. The scenarios that expose the linkage between the Pacelab Mission Suite and the ICARUS platform, are: Scenario 1: Pollution Data Analysis to support a more accurate analysis of pollution data and aircraft emissions (through the modelling of pollution data and the prediction of aircraft performance in relation to the environmental impact); and Scenario 2: Massive Route Network Analysis and Evaluation that intends to analyse pollution data on a larger scale, that of a massive route network (typically involving the statistical evaluation of weather data, the modelling of aircraft payload capacity scenarios and the prediction of aircraft performance in relation to the underlying route network).
  • Demonstrator III: Improved modelling of infectious disease spreading based on aviation data, implemented by the Computational Epidemiology group of ISI, a private research institution located in Turin, Italy that has developed the global epidemic and mobility model, GLEAM). GLEAM is a meta-population model that uses a data-driven approach based on real-world data on populations and human mobility in which airline traffic data is a key component for the modelling of human mobility and the simulation of the global spread of an infectious disease and their effect on the population and the economy. The main objective of the ISI demonstrator is to implement non-incremental improvements to the current models by exploring and integrating additional available aviation-related data, like travellers’ age structure, gender and income data, acquired and processed with the help of the ICARUS platform, and to evaluate them in a well-studied real case scenario – the 2009 H1N1 flu pandemic, for which detailed data are available. As an additional output of the ISI demonstrator, insights on the economic impact of an epidemic on the aviation industry, are planned to be provided by estimating the reduction of travellers on the airline mobility network.
  • Demonstrator IV: Enhancing inflight experience, to be implemented by CELLOCK, an Information Technology SME providing novel aviation software services in Europe. The CELLOCK demonstrator utilizes its BoB (Buy-on-Board) inventory and warehouse management system, used by caterers and airlines, and aims to enhance its existing analytics engine, by adding prediction capabilities for airlines and caterers to improve their service efficiency. The scenarios to be executed on the ICARUS platform involve: Scenario 1 – Reduce cabin food waste and increase revenue that shall optimize the loading weight of the duty-free and catering trays on board, prior to the flight, while reducing the cabin food waste; and Scenario 2 – Predict profitable discounts and offers to increase inflight sales that offers customised discounts and offers to passengers, increasing their satisfaction and travel experience while increasing the on-board-sales ancillary revenues for airlines (especially low-cost airlines).

The demonstrators will be built leveraging data from OAG, the leading global aviation data provider to the world’s airlines, airports, government agencies, aircraft manufacturers, consultancies and travel related companies.