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Business Case

A strategic station between France and Italy, Monaco-Monte-Carlo handles over 7 million passengers a year, with peaks during major events such as F1 and the Rolex Masters. Its underground configuration, tourist numbers and geographical position make it a critical infrastructure, managed by SNCF Hubs & Connexions.

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106
Cameras
30 000
People per day
+ 50
Licenses

#Transport

Foreword

Mutation.

Against a backdrop of urban densification, railway stations are evolving into lifestyle hubs welcoming millions of users. They are no longer mere points of passage, but spaces that need to be carefully managed.

Priority.

SNCF Hubs & Connexions places fluidity, safety and responsiveness at the heart of its strategy. Better anticipation of flows has become an operational imperative.

Vision.

With CORE, XXII deploys visual intelligence for railway stations. Every camera becomes a strategic sensor. Every piece of data an aid to decision-making.

Background.

TRANSPORT 2

The challenges.

The station is under increasing pressure from rising passenger traffic, one-off events and ever more stringent safety requirements.
Against this backdrop, teams in the field need to become more agile to maintain a high level of service, despite the unexpected.
They need to understand traffic flows in real time, and rely on reliable tools to stay in control, whatever the situation.

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Screenshot 2025-04-17 at 14.54.46

The solution.

The real challenge is to move away from a reactive management approach, which is often imposed, towards a proactive approach: anticipating peaks, smoothing traffic flows and strengthening coordination.
CORE was deployed in January 2024 with a clear objective: to better manage traffic flows, detect weak signals upstream, and provide teams with immediate decision-making support to ensure safety, fluidity and serenity within the station.

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Anticipate flows.

The Monaco-Monte-Carlo station, which is underground and subject to peaks in traffic (particularly during the Grand Prix), required a real-time view of passenger movements.
CORE now makes it possible to monitor traffic in each zone, detect slowdowns and alert teams before saturation. The result: greater responsiveness and smoother travel.

Counting.

Until now, ridership data was estimated or collected manually, limiting precise control.
CORE automates the counting of passengers by zone and by time, at various key points (entrances, exits, transit zones).
This data feeds into reporting, facilitates operational sizing, and improves inter-team coordination.

Anomaly detection.

In a busy station, certain critical situations can go unnoticed: abandoned luggage, crowds, pedestrians standing still in sensitive areas...
CORE detects these weak signals in real time and triggers automatic alerts.
This saves operators precious time in intervening, securing the premises and reassuring passengers.

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