Performance-Based Navigation Flight Path Analysis Using Fast-Time Simulation
The growing demand for air transportation has led to an increase in worldwide air traffic inefficiency due to capacity constraints. The impacts associated with this situation can be reduced through operational changes. To better handle the problem, the Single European Sky ATM Research (SESAR) and th...
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MDPI AG
2021
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oai:doaj.org-article:588b3fe47d6042b6801d8b3549026a982021-11-25T17:28:51ZPerformance-Based Navigation Flight Path Analysis Using Fast-Time Simulation10.3390/en142278001996-1073https://doaj.org/article/588b3fe47d6042b6801d8b3549026a982021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7800https://doaj.org/toc/1996-1073The growing demand for air transportation has led to an increase in worldwide air traffic inefficiency due to capacity constraints. The impacts associated with this situation can be reduced through operational changes. To better handle the problem, the Single European Sky ATM Research (SESAR) and the Next Generation Air Transportation System (NextGen) program suggest Performance-Based Navigation (PBN) as a solution. The Area Navigation (RNAV) and Required Navigation Performance (RNP) approaches belong to the group of PBN procedures. These procedures allow for a more efficient use of airspace by reducing route distances, fuel consumption and perceived aircraft noise. This article quantifies the benefits of PBN systems for two indicator parameters—fuel burn and flight time—and compares PBN systems to conventional instrument navigation procedures. The case studies use five airports in Brazil. The results of this analysis show that the benefits of the PBN approach vary with aircraft type and individual route characteristics.Daniel A. PamplonaAlexandre G. de BarrosClaudio J. P. AlvesMDPI AGarticleair traffic flow managementair traffic controlPBNPerformance-Based NavigationRNPRNAVTechnologyTENEnergies, Vol 14, Iss 7800, p 7800 (2021) |
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topic |
air traffic flow management air traffic control PBN Performance-Based Navigation RNP RNAV Technology T |
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air traffic flow management air traffic control PBN Performance-Based Navigation RNP RNAV Technology T Daniel A. Pamplona Alexandre G. de Barros Claudio J. P. Alves Performance-Based Navigation Flight Path Analysis Using Fast-Time Simulation |
description |
The growing demand for air transportation has led to an increase in worldwide air traffic inefficiency due to capacity constraints. The impacts associated with this situation can be reduced through operational changes. To better handle the problem, the Single European Sky ATM Research (SESAR) and the Next Generation Air Transportation System (NextGen) program suggest Performance-Based Navigation (PBN) as a solution. The Area Navigation (RNAV) and Required Navigation Performance (RNP) approaches belong to the group of PBN procedures. These procedures allow for a more efficient use of airspace by reducing route distances, fuel consumption and perceived aircraft noise. This article quantifies the benefits of PBN systems for two indicator parameters—fuel burn and flight time—and compares PBN systems to conventional instrument navigation procedures. The case studies use five airports in Brazil. The results of this analysis show that the benefits of the PBN approach vary with aircraft type and individual route characteristics. |
format |
article |
author |
Daniel A. Pamplona Alexandre G. de Barros Claudio J. P. Alves |
author_facet |
Daniel A. Pamplona Alexandre G. de Barros Claudio J. P. Alves |
author_sort |
Daniel A. Pamplona |
title |
Performance-Based Navigation Flight Path Analysis Using Fast-Time Simulation |
title_short |
Performance-Based Navigation Flight Path Analysis Using Fast-Time Simulation |
title_full |
Performance-Based Navigation Flight Path Analysis Using Fast-Time Simulation |
title_fullStr |
Performance-Based Navigation Flight Path Analysis Using Fast-Time Simulation |
title_full_unstemmed |
Performance-Based Navigation Flight Path Analysis Using Fast-Time Simulation |
title_sort |
performance-based navigation flight path analysis using fast-time simulation |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/588b3fe47d6042b6801d8b3549026a98 |
work_keys_str_mv |
AT danielapamplona performancebasednavigationflightpathanalysisusingfasttimesimulation AT alexandregdebarros performancebasednavigationflightpathanalysisusingfasttimesimulation AT claudiojpalves performancebasednavigationflightpathanalysisusingfasttimesimulation |
_version_ |
1718412284255010816 |