Green Apron at CDG – AI Turnaround Management
Groupe ADP, in collaboration with Assaia and key airline and ground handling stakeholders, is advancing the “Green Apron at CDG” innovation project at Paris Charles de Gaulle Airport. This initiative introduces an AI-powered turnaround management solution using real-time video analytics, thermal cameras, microphones, and machine learning to monitor aircraft turnaround milestones and automatically calculate Predicted Off-Block Time (POBT). By providing operational teams with live, data-driven insights, the project aims to enhance on-time performance, optimise stand utilisation, reduce taxi times, and lower environmental impact. This initiative highlights OLGA’s commitment to digitalisation, operational efficiency, and more sustainable airport operations.
Objectives
The main aim of the Green Apron at CDG project is to digitalise and optimise apron operations through intelligent automation.
The objectives of this innovation are to:
1. Improve On-Time Performance and Operational Efficiency:
Monitor turnaround milestones in real time and automatically predict AOBT to improve departure sequencing, reduce last-minute gate changes, and enhance coordination between operational stakeholders. This enables better planning and contributes to smoother airport operations and increased stand capacity.
2. Support Environmental Performance:
Reduce fuel burn and emissions linked to aircraft waiting times by improving turnaround predictability, departure sequencing, and taxi efficiency. In parallel, monitor APU usage through AI-based thermal and audio detection to trigger alerts, enabling reduced fuel consumption and promoting more sustainable ground operations.
Scope
4 aircraft stands equipped with AI-enabled cameras at Paris Charles de Gaulle Airport.
Real-time turnaround milestone detection.
Improved and automated POBT calculation.
Integration of thermal camera and audio streams for APU usage detection.
The project reached a key milestone at the end of November 2025 with the deployment of the ASSAIA AI turnaround tool at Paris Charles de Gaulle Airport. Operational teams at the APOC, airlines, and ground handlers are now using the tool on equipped stands to enhance decision-making, anticipate delays, and improve coordination across stakeholders.
Next steps
The next phase will focus on evaluating operational benefits resulting from the use of the AI turnaround tool. This will be carried out in close collaboration with the CDG operational team, Air France, and multiple airlines and ground handlers engaged in live testing, with the objective of assessing performance improvements and preparing for potential wider deployment.
