Published October 1, 2024 | Version v1
Dataset Open

Data for the paper "Improving Efficiency Through the Publication of Expected Distances for Standard Terminal Arrival Routes "

  • 1. ROR icon ZHAW Zurich University of Applied Sciences
  • 2. Swiss International Airlines

Description

Data in support of the paper "Improving Efficiency Through the Publication of Expected Distances for Standard Terminal Arrival Routes". The data is organised in subfolders containing the data for each of the three analysed airports (LSGG, EDDM, LIRF).

Each folder includes a landing_full.parquet traffic file that contains all analyzed trajectories for the respective airport, along with random subsamples of sizes 10,000, 5,000, and 2,500.

Additionally, each folder also contains samples of 1000 trajectories following each of the four specific STAR procedure that were analysed per airport:

  • LSGG: AKITO 3R, BELUS 3N, KINES 2N, LUSAR 2N
  • EDDM: BETOS 1A, LANDU 1B, NAPSA 1B, ROKIL 1A
  • LIRF: ELKAP 2A, LAT 2C, RITEB 2A, VALMA 2C

Finally, each folder also contains a landing_df.parquet file that summarises the following key information about each of the trajectories contained in the landing_full.parquet file:

ID A unique identifier linking the row to the corresponding trajectory data
Typecode The ICAO typecode of the aircraft
Start Timestamp when the aircraft passes the first waypoint of the STAR
Stop Timestamp when the aircraft crosses the runway threshold
Runway Designator of the landing runway
STAR Name of the STAR procedure used by the aircraft
Distance Total distance traveled by the aircraft from the initial waypoint of the STAR to the runway threshold

Files

STAR_data.zip

Files (4.1 GB)

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md5:232b60e1272698d465fb5de5caf22205
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