AI tools and methods are to be used in the KORVI-DFKI subproject of the KORVI collaborative research project to develop climate-optimized, integrated, and resilient traffic management, with the aim of optimizing flight paths and airspace using intelligent methods for ground-based systems.
The KORVI collaborative project aims to enable coordinated air traffic management using intelligent airborne and ground-based systems. To this end, systems are being developed that address both airborne and ground-based aspects and facilitate joint communication and coordination to enable the simultaneous control of a large number of aircraft.
The DFKI’s work in this context focuses in particular on ground-based systems. Together with the consortium partners, approaches are being developed to improve flight surveillance and planning. Air traffic control processes are being automated, and decision-making aids and recommendations are being generated and made available to air traffic controllers. These recommendations are coordinated with the airborne side to handle a large number of aircraft that need to be managed simultaneously.
To effectively utilize artificial intelligence (AI) in air traffic control planning and management processes, the traceability of decision-making is crucial. For this reason, the proposals generated by the AI are continuously monitored and compared with flight plans created using traditional methods.
Partners
- Boeing Deutschland GmbH - Verbundführer - Diehl Aerospace GmbH - Infineon Technologies AG - Frequentis Orthogon GmbH - Deutsche Lufthansa AG - Deutsches Zentrum für Luft- und Raumfahrt e.V. - Technische Universität Braunschweig - Technische Universität Darmstadt
