Fairness in Decentralized Strategic Deconfliction in UTM

Evans, Antony; Egorov, Maxim; Munn, Steven

doi:10.2514/6.2020-2203

Cited by 19 publications

(10 citation statements)

References 14 publications

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“…The design choices in a multi-operator UAM ecosystem would be driven by both the system managing coordination between operators, such as a UTM, the resource allocation policies for resources that are shared, and the fleet management policies each operator chooses to implement. Such design choices have been shown to have significant impact on the efficiency and the fairness of the ecosystem as a whole [12,37], and must be better understood in the context of the broader UAM ecosystem.…”

Section: Discussionmentioning

confidence: 99%

“…More generally, analyses of dense and highly utilized airspace have shown a need for strategic traffic management to minimize risk [11]. The topic of fairness and its relation to traffic management has shed light on the importance of designing proper traffic management policies in a federated system with a number of self-interested stakeholders [12].…”

Section: Related Workmentioning

confidence: 99%

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Analysis of Fleet Management and Infrastructure Constraints in On-Demand Urban Air Mobility Operations

Sheng

Egorov

Kochenderfer

2020

Aiaa Aviation 2020 Forum

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A significant challenge in estimating operational feasibility of Urban Air Mobility (UAM) missions lies in understanding how choices in design impact the performance of a complex system-of-systems. This work examines the ability of the UAM ecosystem and the operations within it to meet a variety of demand profiles that may emerge in the coming years. We perform a set of simulation driven feasibility and scalability analyses based on UAM operational models with the goal of estimating capacity and throughput for a given set of parameters that represent an operational UAM ecosystem. UAM ecosystem design guidelines, vehicle constraints, and effective operational policies can be drawn from our analysis. Results show that, while critical for enabling UAM, the performance of the UAM ecosystem is robust to variations in ground infrastructure and fleet design decisions, while being sensitive to decisions for fleet and traffic management policies. We show that so long as the ecosystem design parameters for ground infrastructure and fleet design fall within a sensible range, the performance of the UAM ecosystem is affected by the policies used to manage the UAM traffic.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Analysis of Fleet Management and Infrastructure Constraints in On-Demand Urban Air Mobility Operations

Sheng

Egorov

Kochenderfer

2020

Aiaa Aviation 2020 Forum

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“…While [6] addresses the problem by assigning flights to different "layers" of the airspace, [14] proposes a distributed solution approach based on column generation. Although fairness has been widely recognized as an important criterion [1], [9], it has only recently been explored in the context of UTM and, even then, only for decentralized operating paradigms [5], [22]. The limited work on addressing fairness in strategic UTFM has involved monetary transactions, which raises other practical challenges [23].…”

Section: B Prior Workmentioning

confidence: 99%

“…One reasonable utility function U i that an operator i with delay D i would like to minimize is [22]:…”

Section: Varying Aircraft Operator Delay Utility Functionsmentioning

confidence: 99%

Efficiency and Fairness in Unmanned Air Traffic Flow Management

Chin

Gopalakrishnan

Egorov

et al. 2021

IEEE Trans. Intell. Transport. Syst.

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“…Number of different UTM initiatives take place all over the world, such as U-Space in Europe [86], UTM in the USA [87] and JUTM in Japan [88]. Early research tackles various topics, e.g., airspace conflict resolution [89], [90] and flight planning [91].…”

Section: B Evtolsmentioning

confidence: 99%

A Survey of Wireless Networks for Future Aerial COMmunications (FACOM)

Baltaci,

Dinc,

Ozger

et al. 2021

Preprint

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Electrification turned over a new leaf in aviation by introducing new types of aerial vehicles along with new means of transportation. Addressing a plethora of use cases, drones are gaining attention in the industry and increasingly appear in the sky. Emerging concepts of flying taxi enable passengers to be transported over several tens of kilometers. Therefore, unmanned traffic management systems are under development to cope with the complexity of future airspace, thereby resulting in unprecedented communication needs. Moreover, the long-term increase in the number of commercial airplanes pushes the limits of voice-oriented communications, and future options such as single-pilot operations demand robust connectivity. In this survey, we provide a comprehensive review and vision for enabling the connectivity applications of aerial vehicles utilizing current and future communication technologies. We begin by categorizing the connectivity use cases per aerial vehicle and analyzing their connectivity requirements. By reviewing more than 500 related studies, we aim for a comprehensive approach to cover wireless communication technologies, and provide an overview of recent findings from the literature toward the possibilities and challenges of employing the wireless communication standards. After analyzing the proposed network architectures, we list the open-source testbed platforms to facilitate future investigations by researchers. This study helped us observe that while numerous works focused on cellular technologies to enable connectivity for aerial platforms, a single wireless technology is not sufficient to meet the stringent connectivity demands of the aerial use cases, especially for the piloting operations. We identified the need of further investigations on multi-technology heterogeneous network architectures to enable robust and real-time connectivity in the sky. Future works should consider suitable technology combinations to develop unified aerial networks that can meet the diverse quality of service demands of the aerial use cases.

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Fairness in Decentralized Strategic Deconfliction in UTM

Cited by 19 publications

References 14 publications

Analysis of Fleet Management and Infrastructure Constraints in On-Demand Urban Air Mobility Operations

Analysis of Fleet Management and Infrastructure Constraints in On-Demand Urban Air Mobility Operations

Efficiency and Fairness in Unmanned Air Traffic Flow Management

A Survey of Wireless Networks for Future Aerial COMmunications (FACOM)

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