摘要: |
Urban air mobility (UAM) refers to air transportation ser-
vices in and over an urban area and has the potential to revolutionize
mobility solutions. However, due to the projected scale of operations,
current air traffic management (ATM) techniques are not viable. In-
creasingly autonomous systems are a pathway to accelerate the realiza-
tion of UAM operations, but must be fielded safely and efficiently. The
heavily regulated, safety critical nature of aviation may lead to multi-
ple, competing safety constraints that can be traded off based on the
operational context. In this paper, we design a framework which allows
for the scalable planning of a UAM ATM system. We formalize safety
oriented constraints derived from FAA regulations by encoding them as
temporal logic formulae. We then propose a method for UAM ATM that
is both scalable and minimally violates the temporal logic constraints.
Numerical results show that the runtime for our proposed algorithm is
suitable for very large problems and is backed by theoretical guarantees
of correctness with respect to given temporal logic constraints. |