liu.seSearch for publications in DiVA
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Evaluation of Flight Efficiency for Stockholm Arlanda Airport Arrivals
Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska fakulteten.
Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska fakulteten.
Tech Univ Catalonia UPC, Spain.
Tech Univ Catalonia UPC, Spain.
2019 (engelsk)Inngår i: 2019 IEEE/AIAA 38TH DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC), IEEE , 2019Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Analysis of punctuality of airport arrivals, as well as identification of causes of the delays within transition airspace, is an important step in evaluating performance of the Terminal Maneuvering Area (TMA) Air Navigation Services: without knowing the current performance levels, it is difficult to identify which areas could be improved. Deviations from the flight plans is one of the major reasons for arrival delays. In this work, we evaluate punctuality of Stockholm Arlanda airport arrivals and quantify the impact of the deviations from the flight plans on the fuel burn. Another reason of fuel waste is non-optimal vertical profiles during the descent phase. We evaluate additional fuel burn due to vertical flight inefficiency within Stockholm TMA.

sted, utgiver, år, opplag, sider
IEEE , 2019.
Serie
IEEE-AIAA Digital Avionics Systems Conference, ISSN 2155-7195
Emneord [en]
Punctuality; Vertical Flight Efficiency; Continuous Descent Operations; Key Performance Indicators
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-172223DOI: 10.1109/DASC43569.2019.9081751ISI: 000588253200139ISBN: 978-1-7281-0649-6 (digital)OAI: oai:DiVA.org:liu-172223DiVA, id: diva2:1512905
Konferanse
IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), San Diego, CA, sep 08-12, 2019
Merknad

Funding Agencies|Swedish Transport Agency (Transportstyrelsen)

Tilgjengelig fra: 2020-12-28 Laget: 2020-12-28 Sist oppdatert: 2023-03-13
Inngår i avhandling
1. Impact of Weather on Air Traffic Control
Åpne denne publikasjonen i ny fane eller vindu >>Impact of Weather on Air Traffic Control
2023 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Weather has a strong impact on Air Traffic Management (ATM). Inefficient weather avoidance procedures and inaccurate prognosis lead to longer aircraft routes and, as a result, to fuel waste and increased negative environmental impact. A better integration of weather information into the operational ATM-system will ultimately improve the overall air traffic safety and efficiency. Covid-19 pandemics affected aviation severely, resulting in an unprecedented reduction of air traffic, and gave the opportunity to study the flight performance in non-congested scenarios. We investigated the historical flight and weather data from Stockholm Arlanda and Gothenburg Landvetter airports for the period of two years 2019 and 2020 and discovered noticeable inefficiencies and environmental performance degradation, which persisted despite significant reduction of traffic intensity in March 2020. This thesis proposes a methodology that allows to distinguish which factors have the highest impact on which aspects of arrival performance in horizontal and vertical dimensions.

Academic Excellence in ATM and UTM Research (AEAR) group operating within the Communications and Transport Systems (KTS) division in Linköping University (LIU), together with the Research and Development at Luftfartsverket (LFV, Swedish Air Navigation Service Provider (ANSP)) develops optimization techniques to support efficient decision-making for aviation authorities. In this thesis, we design probabilistic models, which take into account the influence of bad weather conditions on the solutions developed in the related project and integrate them into the corresponding optimization framework. Probabilistic models were applied to account for weather impact on Air Traffic Controller (ATCO) work in remote and conventional towers. The probabilistic weather products were used to obtain an ensemble of staffing solutions, from which the probability distributions of the number of necessary ATCOs were derived. The modelling is based on the techniques recently developed within several Single European Sky ATM Research (SESAR) projects addressing weather uncertainty challenges. The proposed solution was successfully tested using the historical flight and weather data from five airports in Sweden planned for remote operation in the future.

sted, utgiver, år, opplag, sider
Linköping: Linköping University Electronic Press, 2023. s. 29
Serie
Linköping Studies in Science and Technology. Licentiate Thesis, ISSN 0280-7971 ; 1957
HSV kategori
Identifikatorer
urn:nbn:se:liu:diva-192371 (URN)10.3384/9789180751254 (DOI)9789180751247 (ISBN)9789180751254 (ISBN)
Presentation
2023-04-03, K3, Kåkenhus, Campus Norrköping, Norrköping, 13:15 (engelsk)
Opponent
Veileder
Forskningsfinansiär
EU, Horizon 2020, 783287
Tilgjengelig fra: 2023-03-13 Laget: 2023-03-13 Sist oppdatert: 2023-03-13bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekst

Søk i DiVA

Av forfatter/redaktør
Lemetti, AnastasiaPolishchuk, Tatiana
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
Totalt: 36 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf