This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 636308.

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PASSME's aim to reduce air travel time in the EU by 60 minutes depends to a large extent on real-time information for passengers, airlines and airports. Key to this is creating a passenger-centric demand forecasting system.

airport scene smallRebekka Mantel works for PASSME partner, the Technical University of Hamburg (TUHH), and is involved in the research behind the development of PASSME's Passenger Demand Forecast System (PDF). Current airline or airport forecasting systems can predict passenger and baggage movements up to two weeks in advance. PASSME's PDF system aims to provide real-time information to passengers, airlines and airports in order to ensure air travel in the EU is as seamless and stress-free as possible.

Airports and airlines regularly conduct passenger surveys, seeking to find out how and when passengers arrived at the airport, how much luggage they are carrying, and what services and facilities they availed of at the airport. Rebekka's research consists of analysing these surveys in order to identify passenger and baggage flows, peak timeslots, and airport touchpoints. This data aims to identify the main passenger requirements that arise in order to create a meaningful and passenger-centric PDF.

What is unique about PASSME is that data from different airport surveys will be combined to create a wider survey sample, and allowing PASSME partners a better understanding of passenger requirements. This data sharing is also very significant as airlines and airports rarely share data.  This in turn will lead to more intuitive and wide-ranging requirements for the PASSME PDF. Rebekka is collecting passenger survey data from Amsterdam Schiphol Airport and Hamburg Airport, both PASSME partners.

As data collection is still underway, it is too early to announce any results at the moment. However, Rebekka says that once survey results are available, the aim is to create a mock passenger population, representing a broad cross-section of passenger populations. A simulation airport experience will then be applied to this mock population group, in order to test the PDF requirements.

Watch this space for further developments on the PASSME Passenger Demand Forecast System.



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