Large-Scale UAS Traffic Management (UTM) Structure

Sacharny, David; Henderson, Thomas C.; Cline, Michael

doi:10.1109/mfi49285.2020.9235237

Cited by 13 publications

(3 citation statements)

References 6 publications

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“…Finally, regarding the implementation of particular in-flight services, there are different approaches for conflict resolution and emergency management. Many works [28][29][30] have focused on flight planning and scheduling at a strategic level, i.e., in the pre-flight phase; though in-flight automated decision-making has not been properly covered in UTM systems. In general, given the massive search space to find optimal resolutions for conflicts in Very Low-Level (VLL) airspace scenarios, approximate solutions based on heuristic solvers [28] or lane maneuvers [30] predominate over optimal deconfliction approaches.…”

Section: Related Workmentioning

confidence: 99%

“…Many works [28][29][30] have focused on flight planning and scheduling at a strategic level, i.e., in the pre-flight phase; though in-flight automated decision-making has not been properly covered in UTM systems. In general, given the massive search space to find optimal resolutions for conflicts in Very Low-Level (VLL) airspace scenarios, approximate solutions based on heuristic solvers [28] or lane maneuvers [30] predominate over optimal deconfliction approaches. In [31], a probabilistic framework is proposed to formulate the risk involved in UAS operations.…”

Section: Related Workmentioning

confidence: 99%

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Unmanned Aerial Traffic Management System Architecture for U-Space In-Flight Services

et al. 2021

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This paper presents a software architecture for Unmanned aerial system Traffic Management (UTM). The work is framed within the U-space ecosystem, which is the European initiative for UTM in the civil airspace. We propose a system that focuses on providing the required services for automated decision-making during real-time threat management and conflict resolution, which is the main gap in current UTM solutions. Nonetheless, our software architecture follows an open-source design that is modular and flexible enough to accommodate additional U-space services in future developments. In its current implementation, our UTM solution is capable of tracking the aerial operations and monitoring the airspace in real time, in order to perform in-flight emergency management and tactical deconfliction. We show experimental results in order to demonstrate the UTM system working in a realistic simulation setup. For that, we performed our tests with the UTM system and the operators of the aerial aircraft located at remote locations with the consequent communication issues, and we showcased that the system was capable of managing in real time the conflicting events in two different use cases.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Unmanned Aerial Traffic Management System Architecture for U-Space In-Flight Services

et al. 2021

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“…Previous studies have addressed some of these concerns by proposing corridors and sky-lanes [11,12] and even advocating conceptual rules-of-the-road, such as giving priority for traffic on the right at intersections as a potential means to safely navigate through urban areas [13]. Some have suggested single altitude lane-based approaches that primarily investigated trajectory scheduling algorithms in a way to tackle strategic conflict management [14,15]. While others have focused on conceptual design studies into the use of airway routes over buildings, railways and roads for the city of Singapore [16,17], a majority of the work has been centred on policy-based studies for Europe's advanced air mobility traffic management program, U-Space [18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

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

Doole

Ellerbroek

2022

Aerospace

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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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Strategic Deconfliction

Sacharny

Henderson

2012

Lane-Based Unmanned Aircraft Systems Traffic Management

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Large-Scale UAS Traffic Management (UTM) Structure

Cited by 13 publications

References 6 publications

Unmanned Aerial Traffic Management System Architecture for U-Space In-Flight Services

Unmanned Aerial Traffic Management System Architecture for U-Space In-Flight Services

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

Strategic Deconfliction

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