Dynamic Passenger Demand Forecasting
Airports are highly dynamic environments, with large variations in the number of passengers arriving and departing throughout the day, and at different times of the year. To manage and process passengers, airports need to deploy large numbers of staff and equipment to the correct locations and tasks throughout the airport.
Many airports struggle to achieve an accurate forecast of anticipated passenger demand and the impact that it will have on their resource plans. As a result, airports are often short-staffed, resulting in excessive queues and a negative passenger experience or over-staffing, resulting in unnecessary waste in the airport’s resource management processes.
By accurately forecasting the passenger numbers within each operational day, airports can significantly improve their operational efficiency, as operational decisions are made on a robust, reliable forecast.
PAXPredict+ is a proven demand forecasting tool that is used at some of the largest and most complex airports in the world. Data is fed into PAXPredict+ from multiple sources including the Airport Operational Database, flight schedules, passenger transfer messages, the flight data warehouse and Bluetooth-based tracking of passenger movements. This data enables the advanced forecasting techniques of PAXPredict+ to create a highly accurate picture of passenger and baggage flows within each day throughout the airport, resulting in a robust and reliable vision of your future operational demands.
PAXPredict+ is utilised at some of the world's largest and busiest airports including London Heathrow and London Gatwick.
