EU co-funded R&D

AIA actively participates in the Transforming Transport EU project since its official start in January 2017. The project will present in a realistic, measurable, and replicable way transformations that Big Data will bring to the transportation and logistics markets.
AIA holds a key role in the “Efficient Air Transport” pilot, which aims to optimise the Operations Management. Utilising Big Data technology will identify passengers’ behavioural patterns, and help predict the time of passengers’ arrival and the way through which they will cross the terminal, thus aiding allocation of required resources in critical areas at all times and reducing operational costs.

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AIA actively participates in the ICARUS EU project since January 2018. ICARUS aims to deliver a novel framework and architecture that leverages data from diverse sources which is primarily or secondarily related to the aviation industry, in order to help companies and organisations whose operations are directly or indirectly linked to aviation gain a deeper insight into features of flights, airports and passengers and improve their operations.

  Sophisticated passenger handling mechanisms
  and personalised services on ground facilities
  will be implemented by AIA.

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AIA participates in the Horizon 2020 CHARIOT project for the promotion of Privacy, Security and Safety of IoT Systems, initiated in January 2018. CHARIOT will advance cutting edge technology by providing a design method and a cognitive computing platform that will support a unified approach to Privacy, Security and Safety (PSS) of IoT Systems. This approach places devices and hardware at the root of trust, in turn contributing to heightened security and integrity of industrial IoT.

AIA’s role is to coordinate all activities towards the implementation of Living Lab 3. LL3 aims at addressing safety of airport Infrastructures, enhancing protection of Athens Airport’s facilities from physical and cyber threats. To achieve this, CHARIOT will enhance the ability of airports to timely detect or even and predict hazardous situations, while at the same time reducing false alarms that disrupt airport operations. 

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