In the Queue: Detection and Prediction at Airports

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.

Read more

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

A man in business attire stands with crossed arms in a bright indoor space with columns.

Reducing wait times and improving passenger throughput are top priorities at Carrasco International Airport. Reaching these goals with a fully managed service such as AERO fits well within our passenger experience and data-management strategies. We have been using Xovis’ on-premises solution for seven years, and upgrading to AERO is a smart move, thinking about the challenges of the coming years.

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

Access a free Use Case PDF version now!

Download

An airport layout shows travelers moving through various checkpoints, including security, check-in, and baggage claim.

Expanding Airslide Revenue

Measuring customers’ in-store dwell times can boost sales of higher margin products
Efficient Check-In Areas

Accurate store traffic data helps retailers optimize layout and product placement
Time-Saving Ticketing Management

Retailers can boost revenue by measuring in-store attention
Managing Airport Entryways

Queuing up can become a costly friction point for brick-and-mortar retailers
Limiting Taxi Rank Clustering

Understanding gender-specific shopping trends helps retailers optimize resources.
Use-Based Cleaning

Smart Retail requires Smart Cleaning to enhance customer experience
Maintaining Lounge Service Levels

Retailers need a robust queue management system to eliminate friction points
Improving Intra-Airport Transport

Optimal staff and layout depend on real-time customer engagement data
Streamlining Security Checks

Real-time KPIs help retailers optimize performance across all locations
Optimizing Passport Control

Shopping habits change with company, aiding retailers in boosting sales
Airport Baggage Claim

Real-time data prevents baggage claim disruptions

In the Queue: Detection and Prediction at Airports

Reducing Security Wait Times by 10%

Download now

Peta untuk Pengalaman Penumpang yang Lebih Baik

Benefitting from Heat Map Analysis in Airport Terminals

Queue Management at Check-In Desks