Comparison of Conflict Detection Capabilities for Well Clear and Critical Pair Identification

Jacobs, Michael A.; Sudarsanan, Varun S.; DeLaurentis, Daniel A.; Subramanian, Shreyas Vathul

doi:10.2514/1.i010697

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…Over the last decade, the academic policy and technical communities have overwhelmingly adopted the quantitative definition of less than 500 feet of horizontal separation and less than 100 feet of vertical separation; however, the critical severity has become implied and not explicitly stated. This is exemplified by Adaska [29], Cook et al [3], Corraro et al [30], Deaton and Owen [31], He et al [32], Jacobs et al [33], Kochenderfer et al [5], Kuo et al [34], Lester and Weinert [1], Londner [35], Maki et al [36], Radanovic et al [37], Stamm et al [38], Weibel et al [39], and Weinert et al [2]. The quantitative NMAC definition has not been adopted universally, however.…”

Section: B Use Of Nmac To Support Development Of Collision Avoidancementioning

confidence: 99%

A Quantitatively Derived NMAC Analog for Smaller Unmanned Aircraft Systems Based on Unmitigated Collision Risk

Weinert¹,

Alvarez²,

Owen³

et al. 2020

Preprint

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The capability to avoid other air traffic is a fundamental component of the layered conflict management system to ensure safe and efficient operations in the National Airspace System. The evaluation of systems designed to mitigate the risk of midair collisions of manned aircraft are based on large-scale modeling and simulation efforts and a quantitative volume defined as a near midair collision (NMAC). Since midair collisions are difficult to observe in simulation and are inherently rare events, basing evaluations on NMAC enables a more robust statistical analysis. However, an NMAC and its underlying assumptions for assessing close encounters with manned aircraft do not adequately consider the different characteristics of smaller UAS-only encounters. The primary contribution of this paper is to explore quantitative criteria to use when simulating two or more smaller UASs in sufficiently close proximity that a midair collision might reasonably occur and without any mitigations to reduce the likelihood of a midair collision. The criteria assumes a historically motivated upper bound for the collision likelihood and subsequently identify the smallest possible NMAC analogs. We also demonstrate the NMAC analogs can be used to support modeling and simulation activities.

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Section: B Use Of Nmac To Support Development Of Collision Avoidancementioning

confidence: 99%

A Quantitatively Derived NMAC Analog for Smaller Unmanned Aircraft Systems Based on Unmitigated Collision Risk

Weinert¹,

Alvarez²,

Owen³

et al. 2020

Preprint

View full text Add to dashboard Cite

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Near Midair Collision Analog for Drones Based on Unmitigated Collision Risk

Weinert

Alvarez

Owen

et al. 2022

Journal of Air Transportation

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This material is based upon work supported by the Federal Aviation Administration under Air Force Contract No. FA8702-15-D-0001. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Federal Aviation Administration.This document is derived from work done for the FAA (and possibly others), it is not the direct product of work done for the FAA. The information provided herein may include content supplied by third parties. Although the data and information contained herein has been produced or processed from sources believed to be reliable, the Federal Aviation Administration makes no warranty, expressed or implied, regarding the accuracy, adequacy, completeness, legality, reliability or usefulness of any information, conclusions or recommendations provided herein. Distribution of the information contained herein does not constitute an endorsement or warranty of the data or information provided herein by the Federal Aviation Administration or the U.S. Department of Transportation. Neither the Federal Aviation Administration nor the U.S. Department of Transportation shall be held liable for any improper or incorrect use of the information contained herein and assumes no responsibility for anyone's use of the information. The Federal Aviation Administration and U.S. Department of Transportation shall not be liable for any claim for any loss, harm, or other damages arising from access to or use of data or information, including without limitation any direct, indirect, incidental, exemplary, special or consequential damages, even if advised of the possibility of such damages. The Federal Aviation Administration shall not be liable to anyone for any decision made or action taken, or not taken, in reliance on the information contained herein

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Unmanned Aerial Vehicle Mid-Air Collision Detection and Resolution Using Avoidance Maps

Tony

Ghose

Chakravarthy

2021

Journal of Aerospace Information Systems

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Comparison of Conflict Detection Capabilities for Well Clear and Critical Pair Identification

Cited by 3 publications

References 19 publications

A Quantitatively Derived NMAC Analog for Smaller Unmanned Aircraft Systems Based on Unmitigated Collision Risk

A Quantitatively Derived NMAC Analog for Smaller Unmanned Aircraft Systems Based on Unmitigated Collision Risk

Near Midair Collision Analog for Drones Based on Unmitigated Collision Risk

Unmanned Aerial Vehicle Mid-Air Collision Detection and Resolution Using Avoidance Maps

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