Use cases, Airport

In the Queue: Detection and Prediction at Airports

Airport operators can eliminate the need for “Are you in the queue” questions by accurately detecting and responding to lines before they become disruptive.

Challenge

Unstructured queuing areas are more than a nuisance for airports; they can be a significant drag on operational efficiency, cost management and revenue generation. Operators focused on improving the passenger experience need precise, real-time data to accurately identify queues as they emerge. To meet Level of Service (LoS) goals, operators need a reliable data capture system that can:

Provide valuable insights about overflows and bottlenecks
Collect accurate data about how many are in a queue
Measure KPIs for individual queues
Support efforts to maximize operational efficiency

Reducing Security Wait Times by 10%

To reduce wait times and control HR costs, Berlin Brandenburg Airport (BER) uses Xovis data for dynamic messaging and robust automated solutions.

10% Reduced Waiting Time

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Solution

A Passenger Flow Management System (PFMS) operating with accurate, objective data can automatically detect line-formation situations in unstructured queuing areas. To effectively solve the queuing situations that put passenger satisfaction at risk, a PFMS must work with precise live data.

Converting captured data in clear KPIs keeps floor managers and relevant staff informed about:

Queue lengths and waiting times
Passenger outflow rates and throughput per desk
Number of passengers processed
KPIs that are easily accessible via an intuitive dashboard or automated alerts with customizable thresholds

Upgrading from Xovis' on-premises solution to the managed AERO service will help Carrasco International Airport reduce wait times and improve passenger throughput.

Federico Cabrera Operations and Customer Experience Manager, Aeropuertos Uruguay

Benefits

Accurately measuring waiting times in unstructured and structured areas allows operators to:

Optimize queue management at unpredictable locations
Quickly respond to situations based on real-time data
Improve resource planning and desk allocation based on historical data
Enhance passenger experience through better service

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In the Queue: Detection and Prediction at Airports

Reducing Security Wait Times by 10%

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