Richard Alligier enseignant-chercheur

Identifiants chercheurs

IdHAL :

richard-alligier

ORCID :

0000-0003-3279-8208

IdRef :

183071123

Publications

Article dans une revue (12)

Filtering Techniques for ADS-B Trajectory Preprocessing Xavier Olive,Jan Krummer,Benoit Figuet,Richard Alligier Journal of open aviation science, 2025, 2 (2), ⟨10.59490/joas.2024.7882⟩ Article dans une revue hal-05543928v1
Extracting aircraft conflict-resolution situations from historical ADS-B data Kim Gaume,Xavier Olive,David Gianazza,Richard Alligier,Nicolas Durand Transportation Research Interdisciplinary Perspectives, 2025, 34, pp.101669. ⟨10.1016/j.trip.2025.101669⟩ Article dans une revue hal-05364285v1
A Catalogue of Deconfliction Actions Extracted from Historical ADS-B Data Kim Gaume,Xavier Olive,David Gianazza,Richard Alligier,Nicolas Durand TU Delft OPEN Publishing, 2024, 1 (2), ⟨10.59490/joas.2023.7222⟩ Article dans une revue hal-04930691v1
Dual-Horizon Reciprocal Collision Avoidance for Aircraft and Unmanned Aerial Systems Richard Alligier,David Gianazza,Nicolas Durand,Xavier Olive Journal of Intelligent and Robotic Systems, 2022, 107 (1), 30 p. ⟨10.1007/s10846-022-01782-2⟩ Article dans une revue hal-03948501v1
Cooperation of combinatorial solvers for en-route conflict resolution Ruixin Wang,Richard Alligier,Cyril Allignol,Nicolas Barnier,Nicolas Durandet al. Transportation research. Part C, Emerging technologies, 2020, 114, pp.36-58. ⟨10.1016/j.trc.2020.01.004⟩ Article dans une revue hal-02733455v1
Predictive Distribution of the Mass and Speed Profile to Improve Aircraft Climb Prediction Richard Alligier Journal of Air Transportation, 2020, pp.1-10 / ISBN: 978-1-7281-5381-0. ⟨10.2514/1.D0181⟩ Article dans une revue hal-02904350v1
Learning aircraft operational factors to improve aircraft climb prediction: A large scale multi-airport study Richard Alligier,David Gianazza Transportation research. Part C, Emerging technologies, 2018, 96, pp.72-95. ⟨10.1016/j.trc.2018.08.012⟩ Article dans une revue hal-01878615v1
FiberClay: Sculpting Three Dimensional Trajectories to Reveal Structural Insights Christophe Hurter,Nathalie Riche,Steven M. Drucker,Maxime Cordeil,Richard Alligieret al. IEEE Transactions on Visualization and Computer Graphics, 2018, pp.704-714. ⟨10.1109/TVCG.2018.2865191⟩ Article dans une revue hal-01857930v1
High Confidence Intervals Applied to Aircraft Altitude Prediction Mohammad Ghasemi Hamed,Richard Alligier,David Gianazza IEEE Transactions on Intelligent Transportation Systems, 2016, 99, pp.1-13. ⟨10.1109/TITS.2016.2519266⟩ Article dans une revue hal-01284915v1
Machine Learning and Mass Estimation Methods for Ground-Based Aircraft Climb Prediction Richard Alligier,David Gianazza,Nicolas Durand IEEE Transactions on Intelligent Transportation Systems, 2015, pp.1-12. ⟨10.1109/TITS.2015.2437452⟩ Article dans une revue hal-01181173v1
Wind parameters extraction from aircraft trajectories Christophe Hurter,Richard Alligier,David Gianazza,Stéphane Puechmorel,Gennady Andrienkoet al. Computers, Environment and Urban Systems, 2014, pp 1-16. ⟨10.1016/j.compenvurbsys.2014.01.005⟩ Article dans une revue hal-00987690v1
Learning the aircraft mass and thrust to improve the ground-based trajectory prediction of climbing flights Richard Alligier,David Gianazza,Nicolas Durand Transportation research. Part C, Emerging technologies, 2013, 36, pp 45-60. ⟨10.1016/j.trc.2013.08.006⟩ Article dans une revue hal-00907651v1

Communication dans un congrès (16)

Extracting Lateral Deconfliction Actions from Historical ADS-B data with Median Regression Kim Gaume,Richard Alligier,Nicolas Durand,David Gianazza,Xavier Olive International Conference on Research in Air Transportation, Jul 2024, Singapour, Singapore Communication dans un congrès hal-04717046v1
Apprentissage d'un modèle d'incertitude de prévision de trajectoire à partir de données aéronautiques réelles Sarah Degaugue,Kim Gaume,Richard Alligier,Nicolas Durand,David Gianazzaet al. ROADEF 2024, Mar 2024, Amiens, France Communication dans un congrès hal-04716416v1
The Curse of Time Horizon in Detect & Avoid Algorithms David Gianazza,Richard Alligier,Nicolas Durand Fifteenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2023), Jun 2023, Savannah, United States Communication dans un congrès hal-05074724v1
Learning Uncertainty Parameters for Assistance in Conflict Resolution Sarah Degaugue,Yash Guleria,Richard Alligier,Jean-Baptiste Gotteland,Nicolas Durand USA-Europe ATM Research and Development Seminar 2023, FAA-Eurocontrol, Jun 2023, SAVANNAH, United States Communication dans un congrès hal-04357427v1
Deep Trajectory Clustering with Autoencoders Xavier Olive,Luis Basora,Benoit Viry,Richard Alligier ICRAT 2020, 9th International Conference for Research in Air Transportation, Sep 2020, Tampa, United States Communication dans un congrès hal-02916241v1
Prediction of the Propagation of Trajectory Uncertainty for Climbing Aircraft Thomas Zeh,Judith Rosenow,Richard Alligier,Hartmut Fricke DASC 2020 IEEE/AIAA 39th Digital Avionics Systems Conference, Oct 2020, San Antonio, United States. pp.1-9 / ISBN:978-1-7281-8088-5, ⟨10.1109/DASC50938.2020.9256711⟩ Communication dans un congrès hal-03025462v1
Predictive Joint Distribution of the Mass and Speed Profile to Improve Aircraft Climb Prediction Richard Alligier AIDA-AT 2020, 1st conference on Artificial Intelligence and Data Analytics in Air Transportation, Feb 2020, Singapore, Singapore. pp.1-10 / ISBN: 978-1-7281-5381-0, ⟨10.1109/AIDA-AT48540.2020.9049196⟩ Communication dans un congrès hal-02545233v1
Predictive Distribution of the Mass and Speed Profile to Improve Aircraft Climb Prediction Richard Alligier ATM 2019, 13th USA/Europe Air Traffic Management Research and Development Seminar, Jun 2019, Vienne, Austria Communication dans un congrès hal-02138151v1
Efficient Conflict Detection for Conflict Resolution Richard Alligier,Nicolas Durand,Gregory Alligier ICRAT 2018, 8th International Conference on Research in Air Transportation, Jun 2018, Castelldefels, Spain Communication dans un congrès hal-01859904v1
Detect and Avoid Algorithm for UAS with 3D-Maneuvers Richard Alligier,Cyril Allignol,Nicolas Barnier,Nicolas Durand,Ruixin Wang ICRAT 2018, 8th International Conference on Research in Air Transportation , Jun 2018, Castelldefels, Spain Communication dans un congrès hal-01822712v1
Predicting Aircraft Descent Length with Machine Learning Richard Alligier,David Gianazza,Nicolas Durand ICRAT 2016, 7th International Conference on Research in Air Transportation, FAA, Jun 2016, Philadelphia, United States Communication dans un congrès hal-01353960v1
Machine Learning Applied to Airspeed Prediction During Climb Richard Alligier,David Gianazza,Nicolas Durand ATM seminar 2015, 11th USA/EUROPE Air Traffic Management R&D Seminar, FAA & Eurocontrol, Jun 2015, Lisboa, Portugal Communication dans un congrès hal-01168664v1
Comparison of Two Ground-based Mass Estimation Methods on Real Data Richard Alligier,David Gianazza,Mohammad Ghasemi Hamed,Nicolas Durand ICRAT 2014, 6th International Conference on Research in Air Transportation, May 2014, Istanbul, Turkey. pp xxxx Communication dans un congrès hal-01002401v1
Ground-based estimation of the aircraft mass, adaptive vs. least squares method Richard Alligier,David Gianazza,Nicolas Durand ATM 2013, 10th USA/Europe Air Traffic Management Research and Development Seminar, Jun 2013, Chicago, United States. pp 1-10 Communication dans un congrès hal-00911686v1
Energy rate prediction using an equivalent thrust setting profile Richard Alligier,David Gianazza,Nicolas Durand ICRAT 2012, 5th International Conference on Research in Air Transportation, May 2012, Berkeley, United States. pp xxxx Communication dans un congrès hal-00938734v1
Ground-based prediction of aircraft climb : point-mass model vs regression methods Richard Alligier,Mohammad Ghasemi Hamed,David Gianazza,Mathieu Serrurier Complex World 2011, 1st Annual Complex World Conference, Jul 2011, Seville, Spain. pp xxxx Communication dans un congrès hal-00940961v1

Thèse (1)

Apprentissage artificiel appliqué à la prévision de trajectoire d'avion Richard Alligier Intelligence artificielle [cs.AI]. Institut National Polytechnique de Toulouse - INPT, 2014. Français. ⟨NNT : 2014INPT0083⟩ Thèse tel-01085350v1