Investigation of Merge Assist Policies to Improve Safety of Drone Traffic in a Constrained Urban Airspace

Package delivery via autonomous drones is often presumed to hold commercial and societal value when applied to urban environments. However, to realise the benefits, the challenge of safely managing high traffic densities of drones in heavily constrained urban spaces needs to be addressed. This paper...

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Main Authors: Malik Doole, Joost Ellerbroek, Jacco M. Hoekstra
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Aerospace
Subjects:
Online Access:https://www.mdpi.com/2226-4310/9/3/120
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author Malik Doole
Joost Ellerbroek
Jacco M. Hoekstra
author_facet Malik Doole
Joost Ellerbroek
Jacco M. Hoekstra
author_sort Malik Doole
collection DOAJ
description Package delivery via autonomous drones is often presumed to hold commercial and societal value when applied to urban environments. However, to realise the benefits, the challenge of safely managing high traffic densities of drones in heavily constrained urban spaces needs to be addressed. This paper applies the principles of traffic segmentation and alignment to a constrained airspace in efforts to mitigate the probability of conflict. The study proposes an en-route airspace concept in which drone flights are directly guided along a one-way street network. This one-way airspace concept uses heading-altitude rules to vertically segment cruising traffic as well as transitioning flights with respect to their travel direction. However, transition flights trigger a substantial number of merging conflicts, thus negating a large part of the benefits gained from airspace structuring. In this paper, we aim to reduce the occurrence of merging conflicts and intrusions by using a delay-based and speed-based merge-assist strategy, both well-established methods from road traffic research. We apply these merge assistance strategies to the one-way airspace design and perform simulations for three traffic densities for the experiment area of Manhattan, New York. The results indicate, at most, a 9–16% decrease in total number of intrusions with the use of merge assistance. By investigating mesoscopic features of the urban street network, the data suggest that the relatively low efficacy of the merge strategies is mainly caused by insufficient space for safe manoeuvrability and the inability for the strategies to fully respond and thus resolve conflicts on short-distance streets.
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spelling doaj.art-c36740d6e0084d5c88442763bfd19cb22023-11-30T10:27:40ZengMDPI AGAerospace2226-43102022-02-019312010.3390/aerospace9030120Investigation of Merge Assist Policies to Improve Safety of Drone Traffic in a Constrained Urban AirspaceMalik Doole0Joost Ellerbroek1Jacco M. Hoekstra2Control 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 NetherlandsControl and Simulation, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, The NetherlandsPackage delivery via autonomous drones is often presumed to hold commercial and societal value when applied to urban environments. However, to realise the benefits, the challenge of safely managing high traffic densities of drones in heavily constrained urban spaces needs to be addressed. This paper applies the principles of traffic segmentation and alignment to a constrained airspace in efforts to mitigate the probability of conflict. The study proposes an en-route airspace concept in which drone flights are directly guided along a one-way street network. This one-way airspace concept uses heading-altitude rules to vertically segment cruising traffic as well as transitioning flights with respect to their travel direction. However, transition flights trigger a substantial number of merging conflicts, thus negating a large part of the benefits gained from airspace structuring. In this paper, we aim to reduce the occurrence of merging conflicts and intrusions by using a delay-based and speed-based merge-assist strategy, both well-established methods from road traffic research. We apply these merge assistance strategies to the one-way airspace design and perform simulations for three traffic densities for the experiment area of Manhattan, New York. The results indicate, at most, a 9–16% decrease in total number of intrusions with the use of merge assistance. By investigating mesoscopic features of the urban street network, the data suggest that the relatively low efficacy of the merge strategies is mainly caused by insufficient space for safe manoeuvrability and the inability for the strategies to fully respond and thus resolve conflicts on short-distance streets.https://www.mdpi.com/2226-4310/9/3/120urban airspace designconstrained airspaceadvanced air mobilitydelivery dronesflying taxis
spellingShingle Malik Doole
Joost Ellerbroek
Jacco M. Hoekstra
Investigation of Merge Assist Policies to Improve Safety of Drone Traffic in a Constrained Urban Airspace
Aerospace
urban airspace design
constrained airspace
advanced air mobility
delivery drones
flying taxis
title Investigation of Merge Assist Policies to Improve Safety of Drone Traffic in a Constrained Urban Airspace
title_full Investigation of Merge Assist Policies to Improve Safety of Drone Traffic in a Constrained Urban Airspace
title_fullStr Investigation of Merge Assist Policies to Improve Safety of Drone Traffic in a Constrained Urban Airspace
title_full_unstemmed Investigation of Merge Assist Policies to Improve Safety of Drone Traffic in a Constrained Urban Airspace
title_short Investigation of Merge Assist Policies to Improve Safety of Drone Traffic in a Constrained Urban Airspace
title_sort investigation of merge assist policies to improve safety of drone traffic in a constrained urban airspace
topic urban airspace design
constrained airspace
advanced air mobility
delivery drones
flying taxis
url https://www.mdpi.com/2226-4310/9/3/120
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