Imagine a digital traffic cop that manages both traditional airplanes and delivery drones in the same sky. It creates a shared language so these different systems can talk to each other without confusion. This allows the air traffic controllers to shift 'no-fly zones' on the fly to keep everyone safe as traffic changes.
The rapid growth of drones and urban air mobility creates dangerous proximity risks with manned aircraft. Current air traffic management lacks a standardized way to communicate and dynamically reconfigure airspace to accommodate both.
A standardized data model, architecture, and a Dynamic Airspace Reconfiguration (DAR) service for traffic segregation.
If you are a drone delivery operator dealing with restricted access to controlled airspace — this project developed a standardized data model and interface that allows your drones to coexist safely with manned aircraft. This enables a significant growth of the UA market by reducing flight restrictions.
If you are an air taxi provider dealing with the risk of proximity between manned and unmanned aircraft — this project developed a dynamic airspace reconfiguration service. This helps maintain traffic segregation in shared controlled airspace to ensure passenger safety.
If you are an air traffic management company dealing with the complexity of adding drones to traditional flight paths — this project developed a consolidated interface and operational methodology. This reduces the burden on human controllers by automating the segregation of scaled operations.
Based on available project data, there is no information regarding the cost or pricing of the developed services.
Yes, the project aims to achieve a minimum TRL7, which indicates a system prototype demonstration in an operational environment, supporting the growth of the UA market.
Based on available project data, specific IP and licensing terms are not provided, though the project focuses on creating standardized data models and regulations.
The outcomes are expected to influence the evolution of current standards and regulations, specifically regarding U-space regulation and Guidance Material (GM).
It uses a common ATM-U-space interface and a standardized data model to ensure full integration between unmanned aircraft systems and traditional air traffic management.
The consortium is heavily industry-driven with a 74% industry ratio, comprising 20 industrial partners and 4 SMEs across 10 countries. This high level of commercial participation, led by INDRA SISTEMAS SA, suggests the project is focused on practical market application rather than theoretical research, with only one university involved.
Contact INDRA SISTEMAS SA regarding the ATM-U-space interface standards.
Contact us to find partners for TRL7 validation in your region.
