2022

• Junzi Sun, Luis Basora, Xavier Olive, Martin Strohmeier, Matthias Schäfer, Ivan Martinovic and Vincent Lenders. OpenSky Report 2022: Evaluating Aviation Emissions Using Crowdsourced Open Flight Data.
  Proceedings of the 41th Digital Avionics Systems Conference (DASC), 2022

• Florent Vergnes, Judicaël Bedouet, Xavier Olive and Junzi Sun.
  Environmental Impact Optimisation of Flight Plans in a Fixed and Free Route network.
  Proceedings of the 10th International Conference on Research in Air Transportation, 2022

• Michael Schultz, Judith Rosenow and Xavier Olive.
  Data-driven airport management enabled by operational milestones derived from ADS-B messages.
  Journal of Air Transport Management 99, 2022, 102164;
  https://doi.org/10.1016/j.jairtraman.2021.102164

2021

• Timothé Krauth, Jérôme Morio, Xavier Olive, Benoit Figuet and Raphael Monstein.
  Synthetic Aircraft Trajectory Generation with Statistical Copula-based Models.
  Proceedings of the 9th OpenSky Symposium, 2021
  https://doi.org/10.3390/engproc2021013007

• Junzi Sun, Xavier Olive, Martin Strohmeier, Matthias Schäfer, Ivan Martinovic and Vincent Lenders.
  OpenSky Report 2021: Insights on ADS-B Mandate and Fleet Deployment in times of crisis.
  Proceedings of the 40th Digital Avionics Systems Conference (DASC), 2021.
  https://doi.org/10.1109/DASC52595.2021.9594361

• Xavier Olive, Junzi Sun, Mayara Condé Rocha Murça and Timothé Krauth.
  A Framework to Evaluate Aircraft Trajectory Generation Methods.
  Proceedings of the 14th USA/Europe Air Traffic Management Research and Development Seminar, 2021

• Sana Ikli, Catherine Mancel, Marcel Mongeau, Xavier Olive and Emmanuel Rachelson.
  The aircraft runway scheduling problem: A survey.
  Computers & Operations Research, 2021, 105336;
  https://doi.org/10.1016/j.cor.2021.105336

• Luis Basora, Paloma Bry, Xavier Olive and Floris Freeman.
  Aircraft Fleet Health Monitoring with Anomaly Detection Techniques.
  Aerospace, 8(4), 2021, 103;
  https://doi.org/10.3390/aerospace8040103

• Martin Strohmeier, Xavier Olive, Jannis Lübbe, Matthias Schäfer and Vincent Lenders.
  Crowdsourced Air Traffic Data from the OpenSky Network 2019–20.
  Earth System Science Data, 13, 357–366, 2021;
  https://doi.org/10.5194/essd-13-357-2021

2020

• Xavier Olive, Junzi Sun, Adrien Lafage and Luis Basora.
  Detecting Events in Aircraft Trajectories: Rule-based and Data-driven Approaches.
  Proceedings of the 8th OpenSky Symposium, 2020;
  Proceedings 2020, 59(1), 8;
  https://doi.org/10.3390/proceedings2020059008

• Junzi Sun, Huy Vû, Xavier Olive and Jacco Hoekstra.
  Mode S Transponder Comm-B Capabilities in Current Operational Aircraft.
  Proceedings of the 8th OpenSky Symposium, 2020;
  Proceedings 2020, 59(1), 5;
  https://doi.org/10.3390/proceedings2020059005

• Xavier Olive and Luis Basora.
  Detection and identification of significant events in historical aircraft trajectory data.
  Transportation Research Part C: Emerging Technologies 119, 2020, 10237.
  https://doi.org/10.1016/j.trc.2020.102737

• Xavier Olive, Axel Tanner, Martin Strohmeier, Matthias Schäfer, Metin Feridun, Allan Tart, Ivan Martinovic and Vincent Lenders.
  OpenSky Report 2020: Analysing in-flight emergencies using big data.
  Proceedings of the 39th Digital Avionics Systems Conference (DASC), 2020.
  (Best of Session, Best of Track paper award)
  https://doi.org/10.1109/DASC50938.2020.9256787

• Xavier Olive and Junzi Sun.
  Detecting and Measuring Turbulence from Mode S Surveillance Downlink Data.
  Proceedings of the 9th International Conference on Research in Air Transportation, 2020

• Xavier Olive, Luis Basora, Benoît Viry and Richard Alligier.
  Deep Trajectory Clustering with Autoencoders.
  Proceedings of the 9th International Conference on Research in Air Transportation, 2020

• Sana Ikli, Catherine Mancel, Marcel Mongeau, Xavier Olive and Emmanuel Rachelson. Coupling Mathematical Optimization and Machine Learning for the Aircraft Landing Problem.
  Proceedings of the 9th International Conference on Research in Air Transportation, 2020

• Michael Schultz, Xavier Olive, Judith Rosenow, Hartmut Fricke, Sameer Alam.
  Analysis of airport ground operations based on ADS-B data.
  Proceedings of the 1st International Conference on Artificial Intelligence and Data Analytics in Air Transportation (AIDA-AT), Singapore, 2020;
  https://doi.org/10.1109/AIDA-AT48540.2020.9049212

2019

• Michael Schultz, Judith Rosenow and Xavier 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

• Luis Basora, Xavier Olive and Thomas Dubot.
  Recent Advances in Anomaly Detection Methods Applied to Aviation.
  Aerospace, 6(11), 2019, 117;
  https://doi.org/10.3390/aerospace6110117

• Xavier Olive and Luis Basora.
  Air Traffic Data Processing using Python: Trajectory Clustering.
  Proceedings of the 7th OpenSky Workshop, 2019.
  https://doi.org/10.29007/sf1f

• Matthias Schäfer, Xavier Olive, Martin Strohmeier, Matthew Smith, Ivan Martinovic, Vincent Lenders. OpenSky Report 2019: Analysing TCAS in the Real World using Big Data.
  Proceedings of the 38th Digital Avionics Systems Conference (DASC), 2019.
  https://doi.org/10.1109/DASC43569.2019.9081686

• Sana Ikli, Catherine Mancel, Marcel Mongeau, Xavier Olive and Emmanuel Rachelson.
  An Optimistic Planning Approach for the Aircraft Landing Problem.
  Proceedings of ENRI International Workshop on ATM/CNS, 2019
  https://doi.org/10.1007/978-981-33-4669-7_10 (selected papers)

• Xavier Olive.
  traffic, a toolbox for processing and analysing air traffic data.
  Journal of Open Source Software, 4(39), 2019.
  https://doi.org/10.21105/joss.01518

• Xavier Olive and Luis Basora.
  Identifying Anomalies in past en-route Trajectories with Clustering and Anomaly Detection Methods. Proceedings of the 13th USA/Europe Air Traffic Management Research and Development Seminar, 2019

• Xavier Olive and Jérôme Morio.
  Trajectory clustering of air traffic flows around airports.
  Aerospace Science and Technology, 2019.
  https://doi.org/10.1016/j.ast.2018.11.031

2018

• Xavier Olive, Jeremy Grignard, Thomas Dubot and Julie Saint-Lot.
  Detecting Controllers’ Actions in Past Mode S Data by Autoencoder-Based Anomaly Detection.
  Proceedings of the 8th SESAR Innovation Days, 2018

• Xavier Olive and Pierre 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)

2016

• Nicolas Bérend and Xavier Olive.
  Bi-objective optimization of a multiple-target active debris removal mission.
  Acta Astronautica, 122:324–335, 2016.
  https://doi.org/10.1016/j.actaastro.2016.02.005

2011

• Xavier Olive and Hiroshi Nakashima.
  Efficient Representation of Constraints and Propagation of Variable–Value Symmetries in Distributed Constraint Reasoning.
  Journal of Information Processing, 19:201–210, 2011.
  https://doi.org/10.2197/ipsjjip.19.201

2010

• Xavier Olive and Hiroshi Nakashima.
  SymDPOP: Adapting DPOP to exploit partial symmetries.
  Proceedings of the 12th International Workshop on Distributed Constraint Programming, 2010