TY - GEN
T1 - A Simulation Tool for Space Traffic Management
AU - Thangavel, Kathiravan
AU - El Din Safwat, Nour
AU - Hussain, Khaja Faisal
AU - Gardi, Alessandro
AU - Sabatini, Roberto
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Air Traffic Management
KW - Airspace Mangement
KW - Avionics
KW - Cyber Physical System
KW - High Altitude Operations
KW - Intelligent Aerospace Systems
KW - Low-Altitude Operations
KW - Multi-Domain Traffic Management
KW - Space Domain Awareness
KW - Space Traffic Management
UR - https://www.scopus.com/pages/publications/85211205165
U2 - 10.1109/DASC62030.2024.10749168
DO - 10.1109/DASC62030.2024.10749168
M3 - Conference contribution
AN - SCOPUS:85211205165
T3 - AIAA/IEEE Digital Avionics Systems Conference - Proceedings
BT - DASC 2024 - Digital Avionics Systems Conference, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 43rd AIAA DATC/IEEE Digital Avionics Systems Conference, DASC 2024
Y2 - 29 September 2024 through 3 October 2024
ER -