AIRPORTFLOW

Airport operational models are continuously changing to cope with emerging efficiency requirements and growing needs on non aeronautical revenues.

Passenger queues in airport terminals are becoming one of the most relevant barrier to deliver high quality services and maximize resource efficiency, in a scenario where passenger traffic is increasing and security procedures are more and more stringent.
The ability to measure, evaluate, monitor and forecast queues behavior at each stage of the passenger journey is of paramount importance to enabling efficient airport operations.
AirportFlow is a solution designed by Software Design to provide airports with historical analysis and real time accurate intelligence on passenger flows and queue models.
AirportFlow intends to represent a comprehensive solution really flexible and modular both in terms of technologies enabling pax tracking and tools to generate ready to use data for any external solution aimed at optimize resources and services.
Using all available data sources and technologies at the airport, AirportFlow platform helps operational managers to monitor and proactively manage queues in real time across their terminals.
As passengers walk through the terminal, a series of specialized data acquisition blades gather pax data and store them in a central repository.
Data acquisition blade is the driving concept enabling any airport to access pax flow tracking benefits without big investments on infrastructure.
This approach lets customers choose from a large number of options to build their solution.
AirportFlow can start just tracking pax at checkin and security gates and go ahead up to bluetooth massive tracking.
At any time all acquired data are fused and ready-to-use models are provided to ensure a complete picture of terminal operations.
AirportFlow has the ability to support both real time application with online data and strategic planning solution with pax flow models enabling never seen quality and precision of resource allocation task at any stage.