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Demand and Capacity Optimisation in U-space

Project description

Managing drone traffic

In recent years, the drone industry has grown exponentially. Therefore, rules need to be defined as regards drone traffic management. The EU-funded DACUS project proposes to develop a service-oriented demand and capacity balancing (DCB) process. First, the project will design all the steps of the process, from the strategic to the tactical phase. Second, it will create innovative service algorithms and enable models and technologies as functional blocks of the DCB process. Third, it will define a structure for very low level (VLL) airspace and a set of airspace rules. Fourth, it will find the optimal balance between on-board separation intelligence and U-space separation service intelligence. Eventually, DACUS will refine communication, navigation and surveillance (CNS) requirements.

Objective

DACUS aims at the development of a service-oriented Demand and Capacity Balancing (DCB) process for drone traffic management. This overall objective responds to an operational and technical need in European drone operations for a tangible solution integrating the functionalities of the SESAR U-space services for Drone Traffic Management (DTM) to produce timely, efficient and safe decisions.

The project intends to integrate in a consistent DCB solution the relevant demand and capacity influence factors (such as CNS performances availability), definitions (such as airspace structure), processes (such as separation management), and services (such as Strategic and Tactical Conflict Resolution). Therefore, to achieve the overall DACUS objective, five specific objectives are set:
1. Develop a drone DCB process, from strategic to tactical phase, integrating uncertainty of planned operations and guided by the definition of a U-space performance scheme that include the development of metrics for airspace capacity appropriate for an environment with no human controller.
2. Develop innovative services algorithms and enabling models and technologies as functional blocks of DCB process, able to support large number of simultaneous operations and to design and manage efficient and safe drone trajectories.
3. Define a structure for Very Low Level (VLL) airspace and a set of airspace rules that optimises the trade-off between capacity and safety, including the definition of separation management process.
4. Find the optimal balance between on-board separation intelligence and U-space separation service intelligence in tactical separation depending.
5. Refine Communication, Navigation and Surveillance (CNS) requirements in support of tactical and procedural separation, with a focus on urban environment.

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Coordinator

CENTRO DE REFERENCIA INVESTIGACION DESARROLLO E INNOVACION ATM, A.I.E.
Net EU contribution
€ 313 000,00
Address
Calle campezo, 1, 4º, edificio 7, parque empresarial las mercedes
28022 Madrid
Spain

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Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Research Organisations
Links
Other funding
€ 0,00

Participants (10)