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Spacing-Assistant for Leipzig and Munich Approach
Before the COVID-19 pandemic and as the ATM industry recovers again, there is a growing demand for airport capacity. A possibility to meet this demand is to introduce revised wake turbulence categories and reduced separation minima according to RECAT. To enable air traffic controllers to memorize an...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732711/ http://dx.doi.org/10.1016/j.trpro.2022.12.029 |
_version_ | 1784846199683022848 |
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author | Haugg, Eliana Konopka, Jens |
author_facet | Haugg, Eliana Konopka, Jens |
author_sort | Haugg, Eliana |
collection | PubMed |
description | Before the COVID-19 pandemic and as the ATM industry recovers again, there is a growing demand for airport capacity. A possibility to meet this demand is to introduce revised wake turbulence categories and reduced separation minima according to RECAT. To enable air traffic controllers to memorize and apply these, DFS developed a Spacing-Assistant which shows the optimal turning point from the downwind to the final approach, the minimum separation between aircraft, and their optimal spacing to achieve the separation target. It automatically detects gaps on the final and calculates turning points for aircraft on the downwind to fill these gaps. In mixed mode operations, it can also be actively used to plan gaps for departures between arrivals. Objective and subjective data were collected in a Real Time Simulation with four air traffic controllers from Leipzig and Munich Approach. Results indicate that the Spacing-Assistant supports the controllers’ situational awareness and planning. It shows the potential to save capacity when taking over a working position by helping to quickly familiarize with the traffic situation and to stabilize runway throughput. When working with the Spacing-Assistant the final was shorter which implies a reduced environmental and noise impact. |
format | Online Article Text |
id | pubmed-9732711 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97327112022-12-09 Spacing-Assistant for Leipzig and Munich Approach Haugg, Eliana Konopka, Jens Transportation Research Procedia Article Before the COVID-19 pandemic and as the ATM industry recovers again, there is a growing demand for airport capacity. A possibility to meet this demand is to introduce revised wake turbulence categories and reduced separation minima according to RECAT. To enable air traffic controllers to memorize and apply these, DFS developed a Spacing-Assistant which shows the optimal turning point from the downwind to the final approach, the minimum separation between aircraft, and their optimal spacing to achieve the separation target. It automatically detects gaps on the final and calculates turning points for aircraft on the downwind to fill these gaps. In mixed mode operations, it can also be actively used to plan gaps for departures between arrivals. Objective and subjective data were collected in a Real Time Simulation with four air traffic controllers from Leipzig and Munich Approach. Results indicate that the Spacing-Assistant supports the controllers’ situational awareness and planning. It shows the potential to save capacity when taking over a working position by helping to quickly familiarize with the traffic situation and to stabilize runway throughput. When working with the Spacing-Assistant the final was shorter which implies a reduced environmental and noise impact. The Author(s). Published by Elsevier B.V. 2022 2022-12-09 /pmc/articles/PMC9732711/ http://dx.doi.org/10.1016/j.trpro.2022.12.029 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Haugg, Eliana Konopka, Jens Spacing-Assistant for Leipzig and Munich Approach |
title | Spacing-Assistant for Leipzig and Munich Approach |
title_full | Spacing-Assistant for Leipzig and Munich Approach |
title_fullStr | Spacing-Assistant for Leipzig and Munich Approach |
title_full_unstemmed | Spacing-Assistant for Leipzig and Munich Approach |
title_short | Spacing-Assistant for Leipzig and Munich Approach |
title_sort | spacing-assistant for leipzig and munich approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732711/ http://dx.doi.org/10.1016/j.trpro.2022.12.029 |
work_keys_str_mv | AT hauggeliana spacingassistantforleipzigandmunichapproach AT konopkajens spacingassistantforleipzigandmunichapproach |