This work presents an analysis of arrival sequencing at Stockholm Arlanda airport. Thesequencing of arrivals is very important part of air traffic control management and assuressafe space and time distancing of arriving aircraft. In this work we use historical flight datafrom Opensky Network database. The historical flight data contains the information about allthe arrivals of the year 2018. The aim of this work is to propose the key performanceindicators (KPIs) for evaluation of the arrival sequencing at Stockholm Arlanda airport. Thethree KPIs we are considering in this work are the minimum time to final, spacing deviationand sequence pressure. We choose data subsets of different size representing different trafficsituations. We visualize the results and summarize them in tables which assures better clarityfor the comparison of the same KPIs for different data subsets. In addition, we demonstratehow the proposed KPIs can be used for evaluation of optimization results from related study.We conclude that the proposed KPIs are very useful for analysis of the arrival aircraftsequencing and help to uncover inefficiencies within the terminal manoeuvring area (TMA).
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-168100 |
| Date | January 2020 |
| Creators | Smetanová, Lucie |
| Publisher | Linköpings universitet, Kommunikations- och transportsystem, Linköpings universitet, Tekniska högskolan |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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