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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Astrid Dijkstra is project coordinator at Amsterdam Airport Schiphol and works within the department Airport Operations where she is a contact person for PASSME.

schipholSchiphol Airport is working closely with NLR as part of Work Package 4 (WP4) for the PASSME project. The primary objective for this WP is to develop a Passenger Demand Forecasting (PDF) System which will assist airports in anticipating the demand for airport services at different times. Schiphol Airport is providing NLR with operational data about the airport’s processes which will be critical in the development of the system. The aim of the PDF System will be to minimise, as much as is possible, the hassle, time-wasting and stress associated with queuing at airports.

NLR are currently analysing this baseline data to develop a model for ‘Baseline Operations’ in Schiphol Airport. Operational requirements which are relevant to passengers will then be developed. This information will dictate the direction and information required to build the PFD system. Once it has been developed, Schiphol Airport will be used as a demonstration site to test and evaluate the effectiveness and functionalities of the system.

There are a number of key challenges in developing this sophisticated software. Each passenger is an individual with their own needs and expectations; however, they are going through a one-size-fits-all process. It will be difficult to make it a positive experience for everyone based on the data from the PDF system alone. Another obstacle is the building of the model based on an airport’s current capacity and efficiency. Air travel is a rapidly growing and dynamic industry; the system will need to be flexible in response to this growth. PASSME’s ambitious aim is to develop a real-time passenger-centric system for managing passenger flows that uses input from the airport, stakeholders and passengers to provide predictive analytics on passenger flows 20-30 minutes ahead of time. The outcomes of PASSME will make airport processes more efficient. It will be possible to influence passenger flows by providing the passengers with specific information that will influence his decision in a way it will influence the overall passenger flow.

This will be an advantage for the airport and improve the utilisation of existing capacity. The outcomes will have a positive effect on the passenger’s travel time, comfort and experience. It will also influence the airline’s processes, as they can access real-time information about the situation and location of their passengers. They can use this information to make their experience more efficient and they can provide each individual passenger with dedicated information relevant to their journey.





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