  As Urban Air Mobility (UAM) and Advanced Air Mobility (AAM) continue to
mature, a safety-critical system that will need to be implemented in tandem is
Remote Identification (Remote ID) for uncrewed aircraft systems (UAS). To
ensure successful and efficient deployment (e.g., maximal surveillance of UAS
trajectories), as well as to better understand secondary impacts (e.g.,
consumer privacy risks in collecting real-time UAS trajectory information), the
coverage of broadcast-receive Remote ID architectures needs to be
characterized. Motivated by this need, we examine theoretical and empirical
trajectory coverage of several common Remote ID technologies (e.g., Bluetooth,
Wi-Fi) deployed for urban package delivery missions, a commonly-cited use case
for UAM and AAM. We derive methods to explicitly compute expected coverage
proportions under idealized geometries, as well as conduct case studies with
realistic city geographies and UAS path planning algorithms. An example of
results include approximate magnitudes of Remote ID receivers needed
(approximately 500-5000 receivers needed to achieve 50-95\% coverage for
Bluetooth Legacy, and approximately 10-40 receivers needed for the same
coverage range for Wi-Fi NAN/Beacon, assuming a cruise altitude of 200 feet) to
achieve specific trajectory coverage proportions for San Francisco, California.
Our analyses, combined with complementary works related to Remote ID bandwidth
and deployment topologies, can help guide municipal authorities and AAM
stakeholders in future Remote ID system deployments and upkeep.
