Correlated Bayesian Model of Aircraft Encounters in the Terminal Area Given a Straight Takeoff or Landing
The integration of new airspace entrants into terminal operations requires design and evaluation of Detect and Avoid systems that prevent loss of well clear from and collision with other aircraft. Prior to standardization or deployment, an analysis of the safety performance of those systems is requi...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
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Multidisciplinary Digital Publishing Institute
2022
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| Online Access: | https://hdl.handle.net/1721.1/140288 |
| _version_ | 1826200687704276992 |
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| author | Weinert, Andrew Underhill, Ngaire Serres, Christine Guendel, Randal |
| author2 | Lincoln Laboratory |
| author_facet | Lincoln Laboratory Weinert, Andrew Underhill, Ngaire Serres, Christine Guendel, Randal |
| author_sort | Weinert, Andrew |
| collection | MIT |
| description | The integration of new airspace entrants into terminal operations requires design and evaluation of Detect and Avoid systems that prevent loss of well clear from and collision with other aircraft. Prior to standardization or deployment, an analysis of the safety performance of those systems is required. This type of analysis has typically been conducted by Monte Carlo simulation with synthetic, statistically representative encounters between aircraft drawn from an appropriate encounter model. While existing encounter models include terminal airspace classes, none explicitly represents the structure expected while engaged in terminal operations, e.g., aircraft in a traffic pattern. The work described herein is an initial model of such operations where an aircraft landing or taking off via a straight trajectory encounters another aircraft landing or taking off, or transiting by any means. The model shares the Bayesian network foundation of other Massachusetts Institute of Technology Lincoln Laboratory encounter models but tailors those networks to address structured terminal operations, i.e., correlations between trajectories and the airfield and each other. This initial model release is intended to elicit feedback from the standards-writing community. |
| first_indexed | 2024-09-23T11:40:18Z |
| format | Article |
| id | mit-1721.1/140288 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T11:40:18Z |
| publishDate | 2022 |
| publisher | Multidisciplinary Digital Publishing Institute |
| record_format | dspace |
| spelling | mit-1721.1/1402882024-06-07T17:30:12Z Correlated Bayesian Model of Aircraft Encounters in the Terminal Area Given a Straight Takeoff or Landing Weinert, Andrew Underhill, Ngaire Serres, Christine Guendel, Randal Lincoln Laboratory The integration of new airspace entrants into terminal operations requires design and evaluation of Detect and Avoid systems that prevent loss of well clear from and collision with other aircraft. Prior to standardization or deployment, an analysis of the safety performance of those systems is required. This type of analysis has typically been conducted by Monte Carlo simulation with synthetic, statistically representative encounters between aircraft drawn from an appropriate encounter model. While existing encounter models include terminal airspace classes, none explicitly represents the structure expected while engaged in terminal operations, e.g., aircraft in a traffic pattern. The work described herein is an initial model of such operations where an aircraft landing or taking off via a straight trajectory encounters another aircraft landing or taking off, or transiting by any means. The model shares the Bayesian network foundation of other Massachusetts Institute of Technology Lincoln Laboratory encounter models but tailors those networks to address structured terminal operations, i.e., correlations between trajectories and the airfield and each other. This initial model release is intended to elicit feedback from the standards-writing community. 2022-02-11T17:14:10Z 2022-02-11T17:14:10Z 2022-01-24 2022-02-11T14:46:21Z Article http://purl.org/eprint/type/JournalArticle 2226-4310 https://hdl.handle.net/1721.1/140288 Weinert, A.; Underhill, N.; Serres, C.; Guendel, R. Correlated Bayesian Model of Aircraft Encounters in the Terminal Area Given a Straight Takeoff or Landing. Aerospace 9 (2): 58 (2022) http://dx.doi.org/10.3390/aerospace9020058 Aerospace Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/pdf Multidisciplinary Digital Publishing Institute Multidisciplinary Digital Publishing Institute |
| spellingShingle | Weinert, Andrew Underhill, Ngaire Serres, Christine Guendel, Randal Correlated Bayesian Model of Aircraft Encounters in the Terminal Area Given a Straight Takeoff or Landing |
| title | Correlated Bayesian Model of Aircraft Encounters in the Terminal Area Given a Straight Takeoff or Landing |
| title_full | Correlated Bayesian Model of Aircraft Encounters in the Terminal Area Given a Straight Takeoff or Landing |
| title_fullStr | Correlated Bayesian Model of Aircraft Encounters in the Terminal Area Given a Straight Takeoff or Landing |
| title_full_unstemmed | Correlated Bayesian Model of Aircraft Encounters in the Terminal Area Given a Straight Takeoff or Landing |
| title_short | Correlated Bayesian Model of Aircraft Encounters in the Terminal Area Given a Straight Takeoff or Landing |
| title_sort | correlated bayesian model of aircraft encounters in the terminal area given a straight takeoff or landing |
| url | https://hdl.handle.net/1721.1/140288 |
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