Abstract
Large-scale adoption of drone-based delivery in urban areas promise societal benefits with respect to emissions and on-ground traffic congestion, as well as potential cost savings for drone-based logistic companies. However, for this to materialise, the ability of accommodating high volumes of drone traffic in an urban airspace is one of the biggest challenges. For unconstrained airspace, it has been shown that traffic alignment and segmentation can be used to mitigate conflict probability. The current study investigates the application of these principles to a highly constrained airspace. We propose two urban airspace concepts, applying road-based analogies of two-way and one-way streets by imposing horizontal structure. Both of the airspace concepts employ heading-altitude rules to vertically segment cruising traffic according to their travel direction. These airspace configurations also feature transition altitudes to accommodate turning flights that need to decrease the flight speed in order to make safe turns at intersections. While using fast-time simulation experiments, the performance of these airspace concepts is compared and evaluated for multiple traffic demand densities in terms of safety, stability, and efficiency. The results reveal that an effective way to structure drone traffic in a constrained urban area is to have vertically segmented altitude layers with respect to travel direction as well as horizontal constraints imposed to the flow of traffic. The study also makes recommendations for areas of future research, which are aimed at supporting dynamic traffic demand patterns.
Highlights
The current advancement in unmanned aerial vehicles, which is commonly referred to as drones, has potential applications in agriculture, research, inspection, health-care, urban air mobility [1,2,3,4,5,6,7], and logistics, especially in the transport of small express packages of consumer goods and fast-food meals within cities [8,9,10,11]
All of the box-and-whisker plots display the median line; interquartile range (IQR), which is represented by the boundary of the box; the minimum and maximum distribution of the data is marked by the whiskers; and, the points greater than ±1.5×
The results for throughput efficiency of each urban airspace concept is presented while using scatter plots
Summary
The current advancement in unmanned aerial vehicles, which is commonly referred to as drones, has potential applications in agriculture, research, inspection, health-care, urban air mobility [1,2,3,4,5,6,7], and logistics, especially in the transport of small express packages of consumer goods and fast-food meals within cities [8,9,10,11] This demand has been exemplified by commercial logistics companies conducting drone delivery test flights in dense urban areas [12,13]. This rule ensures that cruising aircraft above flight level FL240 with respective travel directions in ranges of 000–089◦ and 090–179◦ are assigned to odd flight-levels in multiples of 10, while cruising aircraft with headings between 180–269◦ and
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