Skip to Main content
Number of documents

7

CV David Gianazza


Richard Alligier    Nicolas Durand   

Journal articles2 documents

  • 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⟩
  • 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⟩

Conference papers5 documents

  • 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⟩