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Engineering Proceedings, Volume 13, Issue 1

2021 OpenSky 2021 - 14 articles

The 9th OpenSky Symposium

Online | 18–19 November 2021

Volume Editors:
Junzi Sun, Delft University of Technology, The Netherlands
Xavier Olive, ONERA-The French Aerospace Lab, France
Martin Strohmeier, Armasuisse Science + Technology, Switzerland
Enrico Spinielli, EUROCONTROL, Belgium
Rainer Koelle, EUROCONTROL, Belgium

Cover Story: Since its launch in 2013, the OpenSky Network has quickly evolved to a large-scale air traffic control data collection and sharing platform. With more than 4000 sensors registered across the globe and more than 25000 users, the OpenSky Network is greatly contributing towards the vision of a more efficient, secure, and reliable operation of airspace by providing open accessibility of air traffic control data to the public. The Ninth OpenSky Symposium is a two-day event hosted by EUROCONTROL in Brussels, Belgium, on 18/19 November 2021. It is sponsored by the Performance Review Commission (PRC). The event is targeted at anyone interested in data-based aviation research. The Symposium serves as a forum to discuss new ideas, the network itself, and research activities around OpenSky.
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Articles (14)

  • Proceeding Paper
  • Open Access
3 Citations
2,933 Views
9 Pages

Reference Trajectories: The Dataset Enabling Gate-to-Gate Flight Analysis

  • John Fitzgerald,
  • Enrico Spinielli,
  • Allan Tart and
  • Rainer Koelle

28 January 2022

Without a doubt, a publicly verifiable data is required to ensure a strong, transparent and independent air traffic management performance review system. Community sourced data (such as ADS-B/Mode S provided by OpenSky Network and others alike) has b...

  • Proceeding Paper
  • Open Access
6 Citations
2,958 Views
10 Pages

Evaluation of the Sequencing and Merging Procedures at Three European Airports Using Opensky Data

  • Henrik Hardell,
  • Anastasia Lemetti,
  • Tatiana Polishchuk and
  • Lucie Smetanová

24 January 2022

With the development of aircraft equipment, conventional navigation shifted towards performance-based navigation (PBN) procedures, which significantly improved the efficiency of airport arrivals. Availability of the open-access Automatic Dependent Su...

  • Proceeding Paper
  • Open Access
4 Citations
5,135 Views
9 Pages

Using the OpenSky ADS-B Data to Estimate Aircraft Emissions

  • Antonio Filippone,
  • Nicholas Bojdo,
  • Shreya Mehta and
  • Ben Parkes

21 January 2022

The OpenSky ADS-B/Mode-S databases have been fully integrated into a computational model that is used to estimate aircraft and rotorcraft engine emissions. This paper demonstrates the basis for the method and the generalisation to a wide class of air...

  • Proceeding Paper
  • Open Access
2 Citations
2,727 Views
8 Pages

21 January 2022

In this paper, we present the first place solution for the Aircraft Localization Competition, which was held on the AIcrowd platform between 15 June 2020 and 31 January 2021 and was organized by the OpenSky Network and the Cyber-Defence Campus of arm...

  • Proceeding Paper
  • Open Access
4 Citations
2,673 Views
10 Pages

31 December 2021

Significant challenges exist when defining the usage spectra of helicopter components due to the wide range of missions and manoeuvres flown by helicopters in-service. Automatic Dependent Surveillance-Broadcast (ADS-B) trajectories provide a means of...

  • Proceeding Paper
  • Open Access
1 Citations
1,792 Views
9 Pages

31 December 2021

Global modernization efforts focus on increasing aviation system capacity and efficiency, while maintaining high levels of safety. To accomplish these objectives, new analysis methods are required that consider Air Traffic Management (ATM) system ope...

  • Proceeding Paper
  • Open Access
11 Citations
3,694 Views
10 Pages

Automatic Processing Pipeline for Collecting and Annotating Air-Traffic Voice Communication Data

  • Martin Kocour,
  • Karel Veselý,
  • Igor Szöke,
  • Santosh Kesiraju,
  • Juan Zuluaga-Gomez,
  • Alexander Blatt,
  • Amrutha Prasad,
  • Iuliia Nigmatulina,
  • Petr Motlíček and
  • Chloe Salamin
  • + 10 authors

31 December 2021

This document describes our pipeline for automatic processing of ATCO pilot audio communication we developed as part of the ATCO2 project. So far, we collected two thousand hours of audio recordings that we either preprocessed for the transcribers or...

  • Proceeding Paper
  • Open Access
8 Citations
3,139 Views
9 Pages

Synthetic Aircraft Trajectories Generated with Multivariate Density Models

  • Timothé Krauth,
  • Jérôme Morio,
  • Xavier Olive,
  • Benoit Figuet and
  • Raphael Monstein

30 December 2021

Aircraft trajectory generation is a high stakes problem with a wide scope of applications, including collision risk estimation, capacity management and airspace design. Most generation methods focus on optimizing a criterion under constraints to find...

  • Proceeding Paper
  • Open Access
6 Citations
3,669 Views
11 Pages

A System for Measurement and Analysis of Aircraft Noise Impacts

  • Donald C. Jackson,
  • Thomas C. Rindfleisch and
  • Juan J. Alonso

29 December 2021

The Metroplex Overflight Noise Analysis (MONA) project seeks to measure, analyze, and archive the ground noise generated by aircraft overflights and to provide accurate and actionable data for a variety of different purposes. On the one hand, experim...

  • Proceeding Paper
  • Open Access
3 Citations
3,109 Views
10 Pages

ADS-B Signal Verification Using a Coherent Receiver

  • Wouter Huygen,
  • Junzi Sun and
  • Jacco Hoekstra

28 December 2021

Automatic Dependent Surveillance-Broadcast (ADS-B) enables aircraft to periodically broadcast their flight states such as position and velocity. Compared to classical radar surveillance, it increases update rate and accuracy. Currently, Mode S Extend...

  • Proceeding Paper
  • Open Access
6 Citations
3,141 Views
9 Pages

28 December 2021

In this paper, we propose a data-driven approach that estimates cruise-level flight emissions over Europe using OpenSky ADS-B data and OpenAP emission models. Flight information, including position, altitude, speed, and the vertical rate are obtained...

  • Proceeding Paper
  • Open Access
5 Citations
2,256 Views
9 Pages

On the Use of Deep Neural Networks to Improve Flights Estimated Time of Arrival Predictions

  • Jorge Silvestre,
  • Miguel de Santiago,
  • Anibal Bregon,
  • Miguel A. Martínez-Prieto and
  • Pedro C. Álvarez-Esteban

25 December 2021

Predictable operations are the basis of efficient air traffic management. In this context, accurately estimating the arrival time to the destination airport is fundamental to make tactical decisions about an optimal schedule of landing and take-off o...

  • Proceeding Paper
  • Open Access
3,233 Views
9 Pages

I Know Where You Are Going: Predicting Flight Destinations of Corporate and State Aircraft

  • Marc Jourdan,
  • Karolis Martinkus,
  • David Roschewitz and
  • Martin Strohmeier

23 December 2021

As data of aircraft movements have become freely accessible on a large scale through means of crowdsourcing, their open source intelligence (OSINT) value has been illustrated in many different domains. Potentially sensitive movements of all stakehold...

  • Proceeding Paper
  • Open Access
7 Citations
2,497 Views
10 Pages

Data-Driven Analysis of Departure Procedures for Aviation Noise Mitigation

  • Jirat Bhanpato,
  • Tejas G. Puranik and
  • Dimitri N. Mavris

23 December 2021

The mitigation of aviation environmental effects is one of the key requirements for sustainable aviation growth. Among various mitigation strategies, Noise Abatement Departure Procedures (NADPs) are a popular and effective measure undertaken by sever...

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Eng. Proc. - ISSN 2673-4591