TY - GEN
T1 - A High-Performance Computing Process for Urban Air Mobility Simulations
AU - Sanni, Olatunde
AU - Khamvilai, Thanakorn
AU - Puntawuttiwong, Teppatat
AU - Feron, Eric
AU - German, Brian
AU - Pakmehr, Mehrdad
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Commercial aviation is statically proven to be the safest mode of commercial transportation. This feat is largely due to technological advances and stringent regulations that yield an under-utilized national airspace. However, as the air transportation system (ATS) evolves to support a new class of vehicles, known as urban air mobility (UAM) systems, airspace utilization will increase and a new set of safety requirements will be needed to sustain, or preferably improve, ATS' safety record. This paper addresses this safety challenge with a novel process for developing and testing safety standards. It outlines and demonstrates a high-performance computing (HPC) process for large-scale high-fidelity UAM simulations. The developed HPC process incorporates automated air traffic control (ATC) services, which have been proposed in the unmanned traffic management (UTM) system. In addition to outlining a process for gathering UAM performance and safety data, this paper more generally contributes a novel blueprint for performing high-fidelity simulations of a large set of autonomous UAM systems that concurrently fly in an urban environment.
AB - Commercial aviation is statically proven to be the safest mode of commercial transportation. This feat is largely due to technological advances and stringent regulations that yield an under-utilized national airspace. However, as the air transportation system (ATS) evolves to support a new class of vehicles, known as urban air mobility (UAM) systems, airspace utilization will increase and a new set of safety requirements will be needed to sustain, or preferably improve, ATS' safety record. This paper addresses this safety challenge with a novel process for developing and testing safety standards. It outlines and demonstrates a high-performance computing (HPC) process for large-scale high-fidelity UAM simulations. The developed HPC process incorporates automated air traffic control (ATC) services, which have been proposed in the unmanned traffic management (UTM) system. In addition to outlining a process for gathering UAM performance and safety data, this paper more generally contributes a novel blueprint for performing high-fidelity simulations of a large set of autonomous UAM systems that concurrently fly in an urban environment.
KW - air traffic management
KW - autonomy
KW - computational fluid dynamics
KW - multi-agent simulation
KW - trajectory generation
UR - http://www.scopus.com/inward/record.url?scp=85122803310&partnerID=8YFLogxK
U2 - 10.1109/DASC52595.2021.9594353
DO - 10.1109/DASC52595.2021.9594353
M3 - Conference contribution
AN - SCOPUS:85122803310
T3 - AIAA/IEEE Digital Avionics Systems Conference - Proceedings
BT - 40th Digital Avionics Systems Conference, DASC 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 40th IEEE/AIAA Digital Avionics Systems Conference, DASC 2021
Y2 - 3 October 2021 through 7 October 2021
ER -
