A paradigm shift in Space Traffic Management (STM) is required due to the expanding space sector and the continuously growing traffic volume. In this research, an innovative simulation tool is presented, specifically designed to support the design and verification of STM Decision Support Systems (DSS) in realistic operational environments. The primary goal of DSS is ensuring the safe, efficient and sustainable operation of space vehicles, while optimizing human-autonomy teaming. To allow this, the proposed simulation tool uses onboard avionics with automated decision-making capabilities in conjunction with advanced Communication, Navigation and Surveillance (CNS) systems for STM. This facilitates strategic and tactical-level traffic management in the space domain by guaranteeing Separation Assurance and Collision Avoidance (SACA) in all required scenarios. Based on this research, STM capabilities will be much improved in the future, enabling safe and effective operations in an increasingly crowded space environment. Moreover, by laying the foundations for a smooth integration of high-altitude and low-altitude airspace operations, the proposed simulation tool will help to shape a cohesive framework for air, space, and multi-domain traffic management.


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    Titel :

    A Simulation Tool for Space Traffic Management


    Beteiligte:


    Erscheinungsdatum :

    29.09.2024


    Format / Umfang :

    586814 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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