Richard Alligier

Ruixin Wang, Richard Alligier, Cyril Allignol, Nicolas Barnier, Nicolas Durand, et al.. Cooperation of combinatorial solvers for en-route conflict resolution. Transportation research. Part C, Emerging technologies, Elsevier, 2020, 114, pp.36-58. ⟨10.1016/j.trc.2020.01.004⟩. ⟨hal-02733455⟩

Richard Alligier. Predictive Distribution of the Mass and Speed Profile to Improve Aircraft Climb Prediction. Journal of Air Transportation, AIAA, 2020, pp.1-10 / ISBN: 978-1-7281-5381-0. ⟨10.2514/1.D0181⟩. ⟨hal-02904350⟩

Richard Alligier, David Gianazza. Learning aircraft operational factors to improve aircraft climb prediction: A large scale multi-airport study. Transportation research. Part C, Emerging technologies, Elsevier, 2018, 96, pp.72-95. ⟨10.1016/j.trc.2018.08.012⟩. ⟨hal-01878615⟩

Christophe Hurter, Nathalie Riche, Steven Drucker, Maxime Cordeil, Richard Alligier, et al.. FiberClay: Sculpting Three Dimensional Trajectories to Reveal Structural Insights. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2018, pp.704-714. ⟨10.1109/TVCG.2018.2865191⟩. ⟨hal-01857930⟩

Mohammad Ghasemi Hamed, Richard Alligier, David Gianazza. High Confidence Intervals Applied to Aircraft Altitude Prediction. IEEE Transactions on Intelligent Transportation Systems, IEEE, 2016, 99, pp.1-13. ⟨10.1109/TITS.2016.2519266⟩. ⟨hal-01284915⟩

Richard Alligier, David Gianazza, Nicolas Durand. Machine Learning and Mass Estimation Methods for Ground-Based Aircraft Climb Prediction. IEEE Transactions on Intelligent Transportation Systems, IEEE, 2015, pp.1-12. ⟨10.1109/TITS.2015.2437452⟩. ⟨hal-01181173⟩

Christophe Hurter, Richard Alligier, David Gianazza, Stéphane Puechmorel, Gennady Andrienko, et al.. Wind parameters extraction from aircraft trajectories. Computers, Environment and Urban Systems, Elsevier, 2014, pp 1-16. ⟨10.1016/j.compenvurbsys.2014.01.005⟩. ⟨hal-00987690⟩

Richard Alligier, David Gianazza, Nicolas Durand. Learning the aircraft mass and thrust to improve the ground-based trajectory prediction of climbing flights. Transportation research. Part C, Emerging technologies, Elsevier, 2013, 36, pp 45-60. ⟨10.1016/j.trc.2013.08.006⟩. ⟨hal-00907651⟩

Thomas Zeh, Judith Rosenow, Richard Alligier, Hartmut Fricke. Prediction of the Propagation of Trajectory Uncertainty for Climbing Aircraft. 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⟩. ⟨hal-03025462⟩

Richard Alligier. Predictive Joint Distribution of the Mass and Speed Profile to Improve Aircraft Climb Prediction. 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⟩. ⟨hal-02545233⟩

Xavier Olive, Luis Basora, Benoit Viry, Richard Alligier. Deep Trajectory Clustering with Autoencoders. ICRAT 2020, 9th International Conference for Research in Air Transportation, Sep 2020, Tampa, United States. ⟨hal-02916241⟩

Richard Alligier. Predictive Distribution of the Mass and Speed Profile to Improve Aircraft Climb Prediction. ATM 2019, 13th USA/Europe Air Traffic Management Research and Development Seminar, Jun 2019, Vienne, Austria. ⟨hal-02138151⟩

Richard Alligier, Cyril Allignol, Nicolas Barnier, Nicolas Durand, Ruixin Wang. Detect and Avoid Algorithm for UAS with 3D-Maneuvers. ICRAT 2018, 8th International Conference on Research in Air Transportation , Jun 2018, Castelldefels, Spain. ⟨hal-01822712⟩

Richard Alligier, Nicolas Durand, Gregory Alligier. Efficient Conflict Detection for Conflict Resolution. ICRAT 2018, 8th International Conference on Research in Air Transportation, Jun 2018, Castelldefels, Spain. ⟨hal-01859904⟩

Richard Alligier, David Gianazza, Nicolas Durand. Predicting Aircraft Descent Length with Machine Learning. ICRAT 2016, 7th International Conference on Research in Air Transportation, FAA, Jun 2016, Philadelphia, United States. ⟨hal-01353960⟩

Richard Alligier, David Gianazza, Nicolas Durand. Machine Learning Applied to Airspeed Prediction During Climb. ATM seminar 2015, 11th USA/EUROPE Air Traffic Management R&D Seminar, FAA & Eurocontrol, Jun 2015, Lisboa, Portugal. ⟨hal-01168664⟩

Richard Alligier, David Gianazza, Mohammad Ghasemi Hamed, Nicolas Durand. Comparison of Two Ground-based Mass Estimation Methods on Real Data. ICRAT 2014, 6th International Conference on Research in Air Transportation, May 2014, Istanbul, Turkey. pp xxxx. ⟨hal-01002401⟩

Richard Alligier, David Gianazza, Nicolas Durand. Ground-based estimation of the aircraft mass, adaptive vs. least squares method. ATM 2013, 10th USA/Europe Air Traffic Management Research and Development Seminar, Jun 2013, Chicago, United States. pp 1-10. ⟨hal-00911686⟩

Richard Alligier, David Gianazza, Nicolas Durand. Energy rate prediction using an equivalent thrust setting profile. ICRAT 2012, 5th International Conference on Research in Air Transportation, May 2012, Berkeley, United States. pp xxxx. ⟨hal-00938734⟩

Richard Alligier, Mohammad Ghasemi Hamed, David Gianazza, Mathieu Serrurier. Ground-based prediction of aircraft climb : point-mass model vs regression methods. Complex World 2011, 1st Annual Complex World Conference, Jul 2011, Seville, Spain. pp xxxx. ⟨hal-00940961⟩

Richard Alligier. Apprentissage artificiel appliqué à la prévision de trajectoire d'avion. Optimisation et contrôle [math.OC]. Institut National Polytechnique de Toulouse - INPT, 2014. Français. ⟨tel-01085350⟩