license: bsd-2-clause
task_categories:
- robotics
- time-series-forecasting
version: 1.0.0
date_published: '2025-05-16'
tags:
- aviation
- amelia
configs:
- config_name: default
data_files: data/traj_data_a42v01/raw_trajectories/*/*.csv
Dataset Overview
The Amelia42-Mini dataset provides air traffic position reports for 42 major U.S. airports, including the following airports:
- KATL (Hartsfield-Jackson Atlanta International Airport)
- KBDL (Bradley International Airport)
- KBOS (Boston Logan International Airport)
- KBWI (Baltimore/Washington International Thurgood Marshall Airport)
- KCLE (Cleveland Hopkins International Airport)
- KCLT (Charlotte Douglas International Airport)
- KDCA (Washington National Airport)
- KDEN (Denver International Airport)
- KDFW (Dallas/Fort Worth International Airport)
- KDTW (Detroit Metropolitan Wayne County Airport)
- KEWR (Newark Liberty International Airport)
- KFLL (Fort Lauderdale-Hollywood International Airport)
- KHOU (William P. Hobby Airport)
- KIAD (Washington Dulles International Airport)
- KIAH (George Bush Intercontinental Airport)
- KJFK (John F. Kennedy International Airport)
- KLAS (Harry Reid International Airport)
- KLAX (Los Angeles International Airport)
- KLGA (LaGuardia Airport)
- KMCI (Kansas City International Airport)
- KMCO (Orlando International Airport)
- KMDW (Chicago Midway International Airport)
- KMEM (Memphis International Airport)
- KMIA (Miami International Airport)
- KMKE (Milwaukee Mitchell International Airport)
- KMSP (Minneapolis-Saint Paul International Airport)
- KMSY (Louis Armstrong New Orleans International Airport)
- KORD (Chicago O’Hare International Airport)
- KPDX (Portland International Airport)
- KPHL (Philadelphia International Airport)
- KPHX (Phoenix Sky Harbor International Airport)
- KPIT (Pittsburgh International Airport)
- KPVD (T.F. Green Airport)
- KSAN (San Diego International Airport)
- KSDF (Louisville Muhammad Ali International Airport)
- KSEA (Seattle-Tacoma International Airport)
- KSFO (San Francisco International Airport)
- KSLC (Salt Lake City International Airport)
- KSNA (John Wayne Airport)
- KSTL (St. Louis Lambert International Airport)
- PANC (Ted Stevens Anchorage International Airport)
- PHNL (Daniel K. Inouye International Airport)
Given the challenges of raw position data, which can be irregularly sampled, noisy, and include tracks outside active movement areas, this dataset has been interpolated to ensure clean data and contains 15 consecutive days of each airport.
Key Features
- Geographic Filtering: Data is filtered using 3D geofences around each airport, including only reports within a 2000 ft altitude above ground level to focus on operationally relevant airspace.
- Interpolation and Resampling: Position reports are interpolated and resampled at a uniform 1 Hz frequency to provide a consistent temporal resolution, ideal for training trajectory forecasting models.
- Comprehensive Metadata: The dataset captures a wide range of attributes, including spatial, temporal, and kinematic information for each agent.
- Diverse Sampling: Includes 15 randomly selected days per airport, covering a range of seasonal and operational conditions to enhance data representation.
- Scalable Format: Data is provided in per-hour, per-airport CSV files for efficient processing, with over 8.43M unique agents and 1.10B position reports included.
| Field | Units | Description |
|---|---|---|
| Frame | # | Timestamp |
| ID | # | STDDS Agent ID |
| Speed | knots | Agent Speed |
| Heading | degrees | Agent Heading |
| Lat | decimal degs | Latitude of the agent |
| Lon | decimal degs | Longitude of the agent |
| Interp | boolean | Interpolated data point flag |
| Altitude | feet | Agent Altitude (MSL) |
| Range | km | Distance from airport datum |
| Bearing | rads | Bearing Angle w.r.t. North |
| Type | int | Agent Type (0: A/C, 1: Veh, 2: Unk) |
| x | km | Local X Cartesian Position |
| y | km | Local Y Cartesian Position |
Use Cases
This dataset is particularly well-suited for tasks like trajectory forecasting, anomaly detection, and air traffic pattern analysis.
Ethics Statement
Amelia is compliant with the FAA Terms of Service for data redistribution as well as the privacy and safety filters imposed by the FAA. Although the Amelia dataset is based on the FAA SWIM data, Amelia is NOT official FAA data and is not suitable for operational purposes. Amelia should only be used for research purposes. Our collection methodology comes with inherent limitations, such as noise in ground radar as well as noisy labelling of agents in the dataset.