Publications ============ .. image:: http://joss.theoj.org/papers/10.21105/joss.01518/status.svg :target: https://doi.org/10.21105/joss.01518 If you find this project useful for your research and use it in an academic work, you may cite it as: .. code:: bibtex @article{olive2019traffic, author={Xavier {Olive}}, journal={Journal of Open Source Software}, title={traffic, a toolbox for processing and analysing air traffic data}, year={2019}, volume={4}, pages={1518}, doi={10.21105/joss.01518}, issn={2475-9066}, } The following list contains publications from research using the traffic library: - | T. Krauth, A. Lafage, J. Morio, X. Olive and M. Waltert | **Deep generative modelling of aircraft trajectories in terminal maneuvering areas** | *Machine Learning with Applications* 16, 2022 | https://doi.org/10.1016/j.mlwa.2022.100446 - | K. Tait, .S Roome and J. Hoole | **Investigating the Occurrence of Aircraft Exhaust Plume Intersections Using Open-Source Air Traffic Data** | *Proceedings of the 10th OpenSky Symposium*, 2022 | https://doi.org/10.3390/engproc2022028016 - | J. Sun, X. Olive and M. Strohmeier | **Environmental Footprint of Private and Business Jets** | *Proceedings of the 10th OpenSky Symposium*, 2022 | https://doi.org/10.3390/engproc2022028013 - | B. Figuet, M. Waltert, M. Felux and X. Olive | **GNSS Jamming and Its Effect on Air Traffic in Eastern Europe** | *Proceedings of the 10th OpenSky Symposium*, 2022 | https://doi.org/10.3390/engproc2022028012 - | D. Rotherham, N. Bojdo, A. Filippone and B Parkes | **Terminal Manoeuvre Area Effects on Aircraft Engine Dust Ingestion** | *Proceedings of the 10th OpenSky Symposium*, 2022 | https://doi.org/10.3390/engproc2022028011 - | K. Renz | **Using OpenSky Data for Teaching Software Engineering to Undergraduates** | *Proceedings of the 10th OpenSky Symposium*, 2022 | https://doi.org/10.3390/engproc2022028003 - | R. Monstein, B. Figuet, T. Krauth, M. Waltert and M. Dettling | **Large Landing Trajectory Dataset for Go-Around Analysis** | *Proceedings of the 10th OpenSky Symposium*, 2022 | https://doi.org/10.3390/engproc2022028002 - | D. Hünemohr, J. Litzba and F. Rahimi | **Usage Monitoring of Helicopter Gearboxes with ADS-B Flight Data** | *Aerospace* 9(11), 647, 2022 | https://doi.org/10.3390/aerospace9110647 - | W. Zhang, M. Hu and J. Du | **An end-to-end framework for flight trajectory data analysis based on deep autoencoder network** | *Aerospace Science & Technology* 17, 107726, 2022 | https://doi.org/10.1016/j.ast.2022.107726 - | A. Chevrot, A. Vernotte and B. Legeard | **CAE : Contextual Auto-Encoder for multivariate time-series anomaly detection in air transportation** | *Computers & Security* 102652, 2022 | https://doi.org/10.1016/j.cose.2022.102652 - | M. Schultz, J. Rosenow and X. Olive | **Data-driven airport management enabled by operational milestones derived from ADS-B messages** | *Journal of Air Transport Management* 99(11):102164, 2022 | https://doi.org/10.1016/j.jairtraman.2021.102164 - | J. Hoole, J. D. Booker and J. Cooper | **Helicopter Flight Manoeuvre Statistics via ADS-B: An Initial Investigation Using the OpenSky Network** | *Proceedings of the 9th OpenSky Symposium*, 2021 | https://doi.org/10.3390/engproc2021013010 - | M. Kocour, K. Veselý et al. | **Automatic Processing Pipeline for Collecting and Annotating Air-Traffic Voice Communication Data** | *Proceedings of the 9th OpenSky Symposium*, 2021 | https://doi.org/10.3390/engproc2021013008 - | J. Sun and I. Dedoussi | **Evaluation of Aviation Emissions and Environmental Costs in Europe Using OpenSky and OpenAP** | *Proceedings of the 9th OpenSky Symposium*, 2021 | https://doi.org/10.3390/engproc2021013005 - | S. Madar, T. Puranik and D. Mavris | **Application of Trajectory Clustering for Aircraft Conflict Detection** | *Proceedings of the 40th Digital Avionics Systems Conference* (DASC), 2021 | https://doi.org/10.1109/DASC52595.2021.9594344 - | R. Koelle, S. Peeters and E. Spinielli | **Building Back Better -- Democratization of Performance Monitoring with Open Data** | *Proceedings of the 40th Digital Avionics Systems Conference* (DASC), 2021 | https://doi.org/10.1109/DASC52595.2021.9594320 - | S. Corrado, T. Puranik, O. J. Pinon-Fischer and D. Mavris | **A clustering-based quantitative analysis of the interdependent relationship between spatial and energy anomalies in ADS-B trajectory data** | *Transportation Research Part C: Emerging Technologies*, vol. 131, pp. 103331, 2021 | https://doi.org/10.1016/j.trc.2021.103331 - | A. Filippone and B. Parkes | **Evaluation of commuter airplane emissions: A European case study** | *Transportation Research Part D: Transport and Environment*, vol. 98, pp. 102979, 2021 | https://doi.org/10.1016/j.trd.2021.102979 - | A. Filippone, B. Parkes, N. Bojdo and T. Kelly | **Prediction of aircraft engine emissions using ADS-B flight data** | *The Aeronautical Journal*, vol. 125, issue 1288, pp. 988--1012, 2021 | https://doi.org/10.1017/aer.2021.2 - | S. Corrado, T. Puranik, O. J. Pinon-Fischer, D. Mavris, R. Rose, J. Williams and R. Heidary | **Deep Autoencoder for Anomaly Detection in Terminal Airspace Operations** | *Proceedings of the AIAA aviation forum*, 2021 | https://doi.org/10.2514/6.2021-2405 - | J. Sun | **The 1090 Megahertz Riddle: A Guide to Decoding Mode S and ADS-B Signals** | ISBN: 978-94-6366-402-8, 2021 | https://doi.org/10.34641/mg.11 - | X. Olive, J. Sun, A. Lafage and L. Basora | **Detecting Events in Aircraft Trajectories: Rule-based and Data-driven Approaches** | *Proceedings of the 8th OpenSky Symposium*, 2020 | https://doi.org/10.3390/proceedings2020059008 | `(paper) `__ `(video) `__ `(notebook) `__ - | J. Sun, H. Vû, X. Olive and J. Hoekstra | **Mode S Transponder Comm-B Capabilities in Current Operational Aircraft** | *Proceedings of the 8th OpenSky Symposium*, 2020 | https://doi.org/10.3390/proceedings2020059005 | `(paper) `__ `(video) `__ - | X. Olive, A. Tanner, M. Strohmeier, M. Schäfer, M. Feridun, A. Tart, I. Martinovic and V. Lenders. | **OpenSky Report 2020: Analysing in-flight emergencies using big data**. | *Proceedings of the 39th Digital Avionics Systems Conference* (DASC), 2020 | `(paper) `__ :ref:`(notebook) ` - | G. Lui, R. Liem and K. Hon. | **Towards understanding the impact of convective weather on aircraft arrival traffic at the Hong Kong International Airport** | *IOP Conference Series: Earth and Environmental Science*, vol. 569, pp. 012067, 2020 | https://iopscience.iop.org/article/10.1088/1755-1315/569/1/012067 - | X. Olive and L. Basora | **Detection and identification of significant events in historical aircraft trajectory data**. | *Transportation Research Part C: Emerging Technologies*, vol. 119, pp. 102737, 2020 | https://doi.org/10.1016/j.trc.2020.102737 - | A. Pellegrini, P. Di Sanzo, B. Bevilacqua, G. Duca, D. Pascarella, R. Palumbo, J. J. Ramos, M. À. Piera and G. Gigante. | **Simulation-Based Evolutionary Optimization of Air Traffic Management**. | *IEEE Access*, vol. 8, pp. 161551-161570, 2020 | https://doi.org/10.1109/access.2020.3021192 - | X. Olive and J. Sun | **Detecting and Measuring Turbulence from Mode S Surveillance Downlink Data**. | *Proceedings of the 9th International Conference on Research in Air Transportation*, 2020 | `(paper) `__ - | X. Olive, L. Basora, B. Viry and R. Alligier | **Deep Trajectory Clustering with Autoencoders**. | *Proceedings of the 9th International Conference on Research in Air Transportation*, 2020 | `(paper) `__ - | S. Proud. | **Go-Around Detection Using Crowd-Sourced ADS-B Position Data**. | *Aerospace*, 2020, 7(2), 16 | https://doi.org/10.3390/aerospace7020016 - | M. Schultz, X. Olive, J. Rosenow, H. Fricke, S. Alam. | **Analysis of airport ground operations based on ADS-B data**. *Proceedings of the 1st conference on Artificial Intelligence and Data Analytics in Air Transportation* (AIDA-AT), 2020 | `(paper) `__ - | M. Schultz, J. Rosenow and X. Olive. | **A-CDM Lite: situation awareness and decision making for small airports based on ADS-B data**. | *Proceedings of the 9th SESAR Innovation Days*, 2019. | `(paper) `__ - | X. Olive and L. Basora. | **Air Traffic Data Processing using Python: Trajectory Clustering**. | *Proceedings of the 7th OpenSky Workshop*, 2019. | `(paper) `__ `(notebook) `__ https://doi.org/10.29007/sf1f - | M. Schäfer, X. Olive, M. Strohmeier, M. Smith, I. Martinovic, V. Lenders. | **OpenSky Report 2019: Analysing TCAS in the Real World using Big Data.** | *Proceedings of the 38th Digital Avionics Systems Conference* (DASC), 2019 | `(paper) `__ - | X. Olive and L. Basora | **Identifying Anomalies in past en-route Trajectories with Clustering and Anomaly Detection Methods**. *Proceedings of the 13th Air Traffic Management R&D Seminar*, 2019 | `(paper) `__ `(notebook) `__ - | X. Olive, J. Grignard, T. Dubot and J. Saint-Lot. | **Detecting Controllers' Actions in Past Mode S Data by Autoencoder-Based Anomaly Detection**. *Proceedings of the 8th SESAR Innovation Days*, 2018 | `(paper) `__ `(notebook) `__ - | X. Olive and P. Bieber. | **Quantitative Assessments of Runway Excursion Precursors using Mode S Data**. *Proceedings of the 8th International Conference on Research in Air Transportation*, 2018 (Best paper award) | `(paper) `__ `(notebook) `__ - | X. Olive and J. Morio. | **Trajectory clustering of air traffic flows around airports**. | *Aerospace Science and Technology* 84, 2019, pp. 776--781. | https://doi.org/10.1016/j.ast.2018.11.031 .. toctree:: :maxdepth: 0 :hidden: paper/sectflow paper/atc_detect paper/runway_excursion