Milestone
This is the final, system-wide rollout, making the new, proven ATM protocols the universal standard for all air traffic. This involves the decommissioning of all legacy national ATC systems in favor of the single, autonomous U-space.
Failure to complete this final step would leave the system in a fragile, hybrid state. This would prevent the full efficiency gains, such as formation flight, from being realized, meaning the system would still be wasting significant amounts of energy.
Scenario
Optimising together
Context Factor
A unified global regulatory, legal, and data framework for the net-zero transition and seamless air travel.
Timeline
Long term
PESTEL
Demonstrate unified, AI-driven Air Traffic Management (ATM) protocols at scale.
This action involves moving the new ATM system from simulation to a live, large-scale demonstration. This means proving its safety and efficiency in a real-world setting, such as with fully autonomous, AI-managed flight operations across the 'North Atlantic Tracks' (NATs).
Read moreIntegrate the aviation governance framework seamlessly with other transport modes.
This action involves connecting the new aviation data systems with those of other transport modes. This creates a seamless, "single-journey" framework, such as a single passenger ticket and security ID that works for an autonomous air-taxi, a high-speed rail leg, and a sub-orbital flight.
Read moreImplement a continuous adaptation framework for real-time standards updates.
This involves implementing a pre-agreed-upon legal and technical process for rapid standards updates. This allows new, more efficient operational procedures, for example, to be approved globally in weeks, not years, based on shared test data.
Read moreImplement fully autonomous, AI-driven 'gate-to-gate' Air Traffic Management.
This is the full implementation of the next generation air traffic control system, removing human operators from the critical path. The mature, AI-driven system takes over all "gate-to-gate" operations, from automated taxi services on the ground to 4D trajectory management in the air, for all aircraft.
Read moreOptimize the global network in real-time using the mature 'Gen 2.0' digital twin.
This is the mature, "Gen 2.0" predictive digital twin, which moves from an advisory tool (Medium Term) to the primary control system. It uses AI based optimizations to predict and resolve network conflicts in real-time, managing all flights as a single, unified global fleet.
Read moreMeasure not yet developed by WP3. To be further detailed after 1 dec in future iterations.
Measure not yet developed by WP3. To be further detailed after 1 dec in future iterations.
Multi modal journeys provides positive incentives to shift from a single (unsustainable) mode towards a more sustainable mix of transport modes.
In the far future multi-modal journeys will have become the default travel option for all travel persona’s. The travel sector and international governments can then work towards global coverage aided by developments in AI and autonomous transport.
"Digital platforms, AI-powered tools, and dynamic dashboards are being adopted by the industry to evaluate mitigation performance, optimize operations, and share best practices." (2025 ICAO Environmental Report, p. 67)
"To complement in-situ measurements, ground-based cameras, satellite imagery and artificial intelligence (AI) are being utilized as additional sources of data for navigational avoidance system validation. In addition, satellite imagery and artificial intelligence technologies are being exploited to improve weather forecasting models through data assimilation." (2025 ICAO Environmental Report, p. 148)