Constrained Urban Airspace Design for Large-Scale Drone-Based Delivery Traffic

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...

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Main Authors: Malik Doole, Joost Ellerbroek, Victor L. Knoop, Jacco M. Hoekstra
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Aerospace
Subjects:
UTM
Online Access:https://www.mdpi.com/2226-4310/8/2/38
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spelling doaj-c13e0e0ff4764c9686cc2a2dfeb813792021-02-02T00:01:50ZengMDPI AGAerospace2226-43102021-02-018383810.3390/aerospace8020038Constrained Urban Airspace Design for Large-Scale Drone-Based Delivery TrafficMalik Doole0Joost Ellerbroek1Victor L. Knoop2Jacco M. Hoekstra3Control and Simulation, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, The NetherlandsControl and Simulation, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, The NetherlandsTransport and Planning, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The NetherlandsControl and Simulation, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, The NetherlandsLarge-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.https://www.mdpi.com/2226-4310/8/2/38urban airspace designconstrained airspaceUTMU-Spacedrone deliveryurban air mobility
collection DOAJ
language English
format Article
sources DOAJ
author Malik Doole
Joost Ellerbroek
Victor L. Knoop
Jacco M. Hoekstra
spellingShingle Malik Doole
Joost Ellerbroek
Victor L. Knoop
Jacco M. Hoekstra
Constrained Urban Airspace Design for Large-Scale Drone-Based Delivery Traffic
Aerospace
urban airspace design
constrained airspace
UTM
U-Space
drone delivery
urban air mobility
author_facet Malik Doole
Joost Ellerbroek
Victor L. Knoop
Jacco M. Hoekstra
author_sort Malik Doole
title Constrained Urban Airspace Design for Large-Scale Drone-Based Delivery Traffic
title_short Constrained Urban Airspace Design for Large-Scale Drone-Based Delivery Traffic
title_full Constrained Urban Airspace Design for Large-Scale Drone-Based Delivery Traffic
title_fullStr Constrained Urban Airspace Design for Large-Scale Drone-Based Delivery Traffic
title_full_unstemmed Constrained Urban Airspace Design for Large-Scale Drone-Based Delivery Traffic
title_sort constrained urban airspace design for large-scale drone-based delivery traffic
publisher MDPI AG
series Aerospace
issn 2226-4310
publishDate 2021-02-01
description 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.
topic urban airspace design
constrained airspace
UTM
U-Space
drone delivery
urban air mobility
url https://www.mdpi.com/2226-4310/8/2/38
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AT joostellerbroek constrainedurbanairspacedesignforlargescaledronebaseddeliverytraffic
AT victorlknoop constrainedurbanairspacedesignforlargescaledronebaseddeliverytraffic
AT jaccomhoekstra constrainedurbanairspacedesignforlargescaledronebaseddeliverytraffic
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