摘要: |
Effective flight planning requires information about a variety of potential threats, such asadverse weather or airspace restrictions, and about alternatives available if unforeseen eventsoccur. Expected traffic along the route of flight is also essential to a safe outcome so that, forexample, adequate fuel/energy supply can be loaded prior to flight. A dynamic density (DD)metric is introduced for the emerging urban air mobility (UAM) concept to predict airspacecongestionthatmayleadtolossofseparationbetweenaircraftorlessefficientoperations. Usinginspiration from dynamic density metric research for traditional air traffic management and atwo-wayhighwayanalogy,wedevelopadynamicdensitymetricforaportionofairspace(aUAMcorridor) that aggregates the impact from five factors: aircraft density, density of populousclusters, mean number of aircraft in populous clusters, mean distance between aircraft, andminimum distance between aircraft. This works describes our methodology, rationale, usecases, and visualization techniques to efficiently present the DD metric to an operator forinformed decision making. We also present an approach for validating the metric. However,validation remains part of future work. |