Optimizing airport operations with real-time passenger flow intelligence

About client

French international airport

This large-scale airport serves millions of passengers each year, acting as a key transportation hub in Europe. With high traffic variability and strict service-level requirements, operational efficiency and passenger satisfaction are critical. Acorel was selected through a European tender to deploy an advanced queue management and passenger counting system across the airport.

Key operational areas include:

• Border control zones

• Security screening checkpoints

• Check-in counters

• Customs and administrative areas

• Public facilities (e.g., restrooms)

Complex, high-pressure environment

Managing such a diverse and high-volume infrastructure requires precise coordination between multiple service providers, including security, border police, and airport operations teams. Without accurate data, ensuring smooth passenger flow and meeting regulatory waiting time targets becomes extremely challenging.

Solution

Real-time passenger counting

A network of high-precision sensors using:

• LIDAR technology

• 3D stereoscopic video

• Computer vision

Operational visibility & control

All collected data is centralized and made accessible through intuitive dashboards, as well as directly on mobile devices. This allows operational teams and unit managers to monitor situations as they evolve and respond immediately when disruptions or inefficiencies appear. Automated alerts and incident reports further enhance responsiveness, ensuring that potential issues are identified and addressed without delay.

Predictive queue management

Beyond real-time monitoring, the system introduces a predictive layer to airport operations. By analyzing trends and flow patterns, it enables teams to anticipate congestion before it becomes visible.

The platform enables:

• Forecasting congestion before it occurs

• Triggering timely opening of additional lanes

• Anticipating peak demand periods

This allows for timely decisions, such as opening additional lanes or reallocating staff, based on actual demand rather than assumptions. As a result, peak traffic can be absorbed more smoothly, and pressure points can be managed proactively instead of reactively.

Outcomes

From reactive to predictive operations

The airport shifted from managing queues “by feel” to using real-time indicators. Teams can now monitor demand as it builds and respond proactively preventing congestion instead of reacting to it.

Improved resource allocation

Staffing levels are dynamically adjusted based on actual passenger flow:

• Avoid under-staffing during peaks

• Reduce unnecessary staffing during low traffic

• Optimize lane openings

Enhanced passenger experience

By reducing the time spent at mandatory checkpoints, the solution helps create a more seamless and predictable journey through the airport. Passengers experience less stress and uncertainty, while movement across key areas becomes smoother and more efficient, allowing service levels to remain stable even during peak periods.