What We Do - AIR Lab Singapore

Enhancing ATM Using Advanced And Open Technologies

At AIR Lab, we are studying how advanced technologies like Artificial Intelligence and machine learning can help address the challenges and complexity of managing increasingly congested skies.

Shaping the future of ATM

Our team is dedicated to evolving air traffic management through open collaboration with startups, research institutes, and universities. Our Open, Safe, and Secure approach ensures cutting-edge solutions while maintaining safety and security. By fostering research, we enhance regional collaboration and build a more efficient, connected airspace.

Through our Regional Collaboration Platform (RCP) and our work on FF-ICE (Flight and Flow Information for Collaborative Environment), we are advancing a collaborative system that enables better decision-making by sharing real-time flight and flow information between Air Navigation Service Providers (ANSPs), airports, and other stakeholders, driving innovation and the development of future solutions in air traffic management.

Main research areas

Open Innovation

Facilitated by our Open APIs, collaboration with local and international Startups, Research Institutes, and Universities is at the core of AIR Lab’s identity.

Machine Learning

Providing Air traffic Controllers assistance in complex and busy environments, while maintaining the utmost levels of safety and efficiency.

Open, Safe and Secure

We adopt an Open Technology approach with a focus on managing Safety and Security constraints.

Sustainability

Identify future solutions that address environmental concerns (e.g. CO2 emissions reduction), by researching and prototyping optimisations, leveraging Trajectory-Based Operations (TBO), and Green Departure and Arrival procedures.

Research areas

Flight and Flow information for a collaborative environment

Prototyping the building blocks of FF-ICE to enable ATM stakeholders in preparing for a collaborative future.

FF-ICE aims to enhance flight planning and air traffic management through improved data sharing and automation. By enabling real-time, standardised information exchange between airspace users such as airlines (eAUs), air navigation service providers (eASPs), and other stakeholders, FF-ICE enhances operational efficiency, optimises airspace use, and improves safety and environmental sustainability.

Regional Collaboration Platform

An experimental platform where regional ANSPs can test bed and explore collaborative tools and concepts to improve ATM operations in the region.

The RCP is a cloud-based experimentation platform. Providing research tools for integrating live, historical, and simulated data, enabling stakeholders to collaboratively analyze, simulate, and optimize airspace operations.

The platform is built on open-source technologies and is able to integrate with third party solutions/ capabilities using open APIs. The platform is also built with open-source data and is free for access by regional ANSPs for experimentation and research purposes.

AI Enablers

Explore AI tools to support decision-making, conflict resolution, automate flight planning, optimize routes, interpret aeronautical data, and support air traffic controllers with intelligent tools, reducing workload and increasing capacity.

Open ATM

Building on AIR Lab’s MVP research on open ATM concepts, this initiative explores the policies and security framework required for an open architecture.

Developing World’s First ATM Twin

The ATM Twin is designed as an enabler for faster and safer innovation in Air Traffic Management. 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 can display Air Traffic Information from different sources, if it complies with AIR Lab’s Open ATM APIs.