Aviation Innovation Research Lab
What's New
Throwback on our last site visit at 𝐀𝐢𝐫𝐋𝐚𝐛 – Thales! Our sincere thank you to Herve Moalic, Director of AIR Lab, Chris Lee, Strategic…Read post on Linkedin
AIR Lab and Thales at the OneAviation Career fair and honored to be invited to share the panel with sustainability experts…. Read post on Linkedin
Thales Ecosystem Architect & Digital Innovation Developer counters the misconception that sustainability compromises safety. Read post on Linkedin
Hear from Raymond as he tells us what inspires him to pursue rapid innovation in the increasing complex Air Traffic Management environment… View on YouTube
What we Do
We leverage advanced and open innovation to create the next generation of ATM Technologies, including the world’s first Air Traffic Management Digital Twin.
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We Aim To Virtually Mirror The Entire ATM Ecosystem
Anchored by international ATM experts, we bring together multiple stakeholders in the ATM value chain – from air traffic controllers to AI experts, to software engineers and local start-ups – creating a veritable ‘sandbox’ where the team can experiment and co-create the future ATM technologies.
The team adopts an agile ‘test-and-learn’ methodology, working in short sprints that enables Minimum Viable Products to be developed in a shorter timeframe.
World's first ATM Twin
The ATM Twin is designed as an enabler to help the Air Traffic Management industry innovate quickly and safely. By virtually mirroring an entire ATM system, Air Traffic Controllers can engage in what-if possibilities and optimize their workflow. Thanks to our Open ATM Architecture, the ATM Twin is able to display Air Traffic Information from different sources, if it complies with AIR Lab's open ATM APIs.
Open ATM Architecture
The skies are becoming increasingly congested and technology is advancing at a rapid rate, faster than ever before. With an Open ATM architecture, data from multiple stakeholders including airlines and airports whose wealth of data related to passengers, flight trajectories and flight planning can be seamlessly integrated, benefiting the entire ATM ecosystem – ultimately making the skies smarter, safer, more connected and more secure.
Enhancing ATM Using AI/ML
Enabling controllers with decision support and greater automation in their operations, with a range of Proofs of Concepts. Machine Learning is used to generate services that will provide Air Traffic Controllers assistance in complex and busy environments, while maintaining the utmost levels of safety and efficiency. We also touch on topics such as cybersecurity and sustainability in air traffic control to identify future solutions that address environmental concerns (e.g. CO2 emissions reduction)
CDO
By using CDO, controllers maximise the extent of idle operations to reduce aircraft emissions during the approach phase, reduce the number of clearances for controllers and ease radio communications.
Based on advanced technologies, AIR Lab's Continuous Descent Operation provides advisories to inform controllers of CDO-eligible flights at the right time and provide them with the most accurate clearance for descent.
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AIR Lab Is Where The Team Can Experiment And Co-Create The Future ATM Technologies.
We grow and deepen local ATM expertise through co-development activities with our international experts. Through these activities, we hope to build and retain the ATM know-how capabilities through mentorship and on-the-job training.
Our Partners
Our Team
AIR Lab is a joint collaboration consisting of the following personnel from CAAS and THALES.
Jean-Philippe Mota
Operations Director
THALES
Gabriel Mesquida-Masana
ATM Twin Chief Product Owner
THALES
Adrian Neo
Agilist, Scrum Master
THALES
OFFICE
AIR Lab @ WeWork
Suntec Tower 5, Temasek Boulevard
Singapore 038985