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45

CV David Gianazza


Journal articles8 documents

  • 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⟩
  • 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⟩
  • Christophe Hurter, Stéphane Conversy, David Gianazza, Alexandru C Telea. Interactive image-based information visualization for aircraft trajectory analysis. Transportation research. Part C, Emerging technologies, Elsevier, 2014, pp.207-227. ⟨10.1016/j.trc.2014.03.005⟩. ⟨hal-00987451⟩
  • 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⟩
  • David Gianazza. Forecasting workload and airspace configuration with neural networks and tree search methods. Artificial Intelligence, Elsevier, 2010, 174 (7-8), pp 530-549. ⟨10.1016/j.artint.2010.03.001⟩. ⟨hal-01020725⟩
  • David Gianazza. Algorithme évolutionnaire et A* pour la séparation en 3D des flux de trafic aérien. Journal Européen des Systèmes Automatisés (JESA), Lavoisier, 2004, 38 (9-10), pp 1065-1095. ⟨10.3166/jesa.38.1065-1095⟩. ⟨hal-01020118⟩

Conference papers29 documents

  • David Gianazza, Nicolas Durand. Ant Colony Systems for Optimizing Sequences of Airspace Partitions. AIDA-AT 2020, 1st conference on Artificial Intelligence and Data Analytics in Air Transportation, Feb 2020, Singapour, Singapore. pp.ISBN: 978-1-7281-5381-0, ⟨10.1109/AIDA-AT48540.2020.9049206⟩. ⟨hal-02547511⟩
  • David Gianazza. Optimizing Successive Airspace Configurations with a Sequential A * Algorithm. ATM 2019, 13th USA/Europe Air Traffic Management Research and Development Seminar, Jun 2019, Vienne, Austria. ⟨hal-02178437⟩
  • David Gianazza. Learning Air Traffic Controller Workload from Past Sector Operations. ATM Seminar, 12th USA/Europe Air Traffic Management R&D Seminar, Jun 2017, Seattle, United States. ⟨hal-01592233⟩
  • David Gianazza. Analysis of a Workload Model Learned from Past Sector Operations. SID 2017, 7th SESAR Innovation Days, Nov 2017, Belgrade, Serbia. ⟨hal-01652046⟩
  • 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⟩
  • Mohammad Ghasemi Hamed, David Gianazza, Mathieu Serrurier, Nicolas Durand. Statistical prediction of aircraft trajectory : regression methods vs point-mass model. ATM 2013, 10th USA/Europe Air Traffic Management Research and Development Seminar, Jun 2013, Chicago, United States. pp xxxx. ⟨hal-00911709⟩
  • 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⟩
  • Jean-Marc Alliot, Jean-Baptiste Gotteland, Charlie Vanaret, Nicolas Durand, David Gianazza. Implementing an interval computation library for OCaml on x86/amd64 architectures. OUD 2012, OCaml Users and Developers workshop, Sep 2012, Copenhagen, Denmark. ⟨hal-00934812⟩
  • 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⟩
  • Charlie Vanaret, David Gianazza, Nicolas Durand, Jean-Baptiste Gotteland. Benchmarking conflict resolution algorithms. ICRAT 2012, 5th International Conference on Research in Air Transportation, May 2012, Berkeley, United States. ⟨hal-00863090⟩
  • Charlie Vanaret, David Gianazza, Jean-Baptiste Gotteland, Nicolas Durand. Résolution de conflits aériens par un algorithme à évolution différentielle. ROADEF 2012, 13ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Apr 2012, Angers, France. pp 550-553. ⟨hal-00864898⟩
  • Jean-Marc Alliot, Nicolas Durand, David Gianazza, Jean-Baptiste Gotteland. Finding and proving the optimum : cooperative stochastic and deterministic search. ECAI 2012, 20th European Conference on Artificial Intelligence, Aug 2012, Montpellier, France. pp xxxx. ⟨hal-00938712⟩
  • 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⟩
  • Nicolas Saporito, Christophe Hurter, David Gianazza, Geraldine Beboux. A participatory design for the visualization of airspace configuration forecasts. ICRAT 2010, 4th International Conference on Research in Air Transportation, Jun 2010, Budapest, Hungary. pp xxxx. ⟨hal-00938480⟩
  • David Gianazza, Cyril Allignol, Nicolas Saporito. An efficient airspace configuration forecast. ATM 2009, 8th USA/Europe Air Traffic Management Research and Developpment Seminar, Jun 2009, Napa, United States. pp xxxx. ⟨hal-01020720⟩
  • David Gianazza. Smoothed traffic complexity metrics for airspace configuration schedules. ICRAT 2008, 3rd International Conference on Research in Air Transportation, Jun 2008, Fairfax, United States. pp xxxx. ⟨hal-01020711⟩
  • David Gianazza. Airspace configuration using air traffic complexity metrics. ATM 2007, 7th USA/ Europe Air Traffic Management Research and Developpment Seminar, Jul 2007, Barcelona, Spain. pp xxxx. ⟨hal-00938172⟩
  • David Gianazza, Kevin Guittet. Évaluation of air traffic complexity metrics using neural networks and sector status. ICRAT 2006, 2nd International Conference on Research in Air Transportation, Jun 2006, Belgrade, Serbia. pp xxxx. ⟨hal-00938105⟩
  • David Gianazza, Kevin Guittet. Selection and evaluation of air traffic complexity metrics. DASC 2006, 25th Digital Avionics Systems Conference, Oct 2006, Portland, United States. pp 1-12, ⟨10.1109/DASC.2006.313710⟩. ⟨hal-00938180⟩
  • David Gianazza, Nicolas Durand. Assessment of the 3D-separation of Air Traffic Flows. ATM 2005, 6th USA/ Europe Air Traffic Management Research and Development Seminar, Jun 2005, Baltimore, United States. pp xxxx. ⟨hal-00938079⟩
  • David Gianazza, Nicolas Durand, Nicolas Archambault. Allocating 3D-trajectories to air traffic flows using A* and genetic algorithms. CIMCA 2004, international conference on Computational Intelligence for Modelling, Control and Automation, Jul 2004, Gold Coast, Australia. pp xxxx. ⟨hal-01020102⟩
  • David Gianazza, Nicolas Durand. Separating air traffic flows by allocating 3D-trajectories. DASC 2004, 23rd Digital Avionics Systems Conference, Oct 2004, Salt Lake City, United States. pp 2.D.4 - 21-13, ⟨10.1109/DASC.2004.1391275⟩. ⟨hal-00938063⟩
  • David Gianazza. Optimisation des flux de trafic aérien : allocation de niveaux de vols et définition de trajectoires 3D. EDIT 2003, Colloque des doctorants de l'École Doctorale Informatique et Télécommunications, Apr 2003, Toulouse, France. ⟨hal-00990278⟩
  • David Gianazza, Jean-Marc Alliot, Géraud Granger. Optimal combinations of Air Traffic Control sectors using classical and stochastic methods. IC-AI 2002, International Conference on Artificial Intelligence, Jun 2002, Las Vegas, United States. ⟨hal-00990320⟩
  • David Gianazza. Optimisation des schémas d'ouverture des secteurs de contrôle aérien par méthodes classiques et algorithmes génétiques. EDIT 2002, Colloque des doctorants de l'École Doctorale Informatique et Télécommunications, Mar 2002, Toulouse, France. ⟨hal-00990349⟩
  • David Gianazza, Jean-Marc Alliot. Optimization of air traffic control sector configurations using tree search methods and genetic algorithms. DASC 2002, Digital Avionics Systems Conference, Oct 2002, Irvine, United States. pp 2A5-1 - 2A5-8, ⟨10.1109/DASC.2002.1067912⟩. ⟨hal-00990194⟩
  • David Gianazza, F. Girard, M. Lemoine, D. Marre, F. Preux, et al.. Validation d'un système critique par rétro-conception formelle. GL1997, Congrès Génie Logiciel et ses Applications, Dec 1997, Paris, France. pp 118-122. ⟨hal-00990391⟩

Poster communications1 document

  • David Gianazza, Jean-Baptiste Gotteland. Optimisation du roulage. Journée de la Recherche ENAC 2014, Feb 2014, Toulouse, France. ⟨hal-01011539⟩

Books1 document

Book sections3 documents

  • David Gianazza. Apprentissage artificiel et application en gestion du trafic aérien. Techniques de l'Ingénieur, Technqiues de l'ingénieur, 2018, Innovations en électronique et TIC. ⟨hal-02967668⟩
  • Nicolas Durand, David Gianazza, Jean-Baptiste Gotteland, Charlie Vanaret, Jean-Marc Alliot. Applications to Air Traffic Management. Patrick Siarry. Metaheuristics, Springer, pp 439-484, 2016, ISBN: 978-3-319-45401-6 (Print) 978-3-319-45403-0 (Online). ⟨10.1007/978-3-319-45403-0_16⟩. ⟨hal-01424992⟩
  • Jean-Marc Alliot, Nicolas Durand, David Gianazza, Jean-Baptiste Gotteland, Charlie Vanaret. Chapître 15 : Application en géstion du trafic aérien. Patrick Siarry. Métaheuristiques, Eyrolles, 2014, 978-2-212-13929-7. ⟨hal-01293548⟩

Reports2 documents

  • David Gianazza. Réseaux de neurones appliqués aux indicateurs de complexité et aux regroupements de secteurs aériens. 2006. ⟨hal-01020633⟩
  • Kevin Guittet, David Gianazza. Analyse descriptive des indicateurs de complexité du trafic aérien à partir des données IMAGE et COURAGE. [Research Report] Ecole Nationale de l'Aviation Civile. 2005. ⟨hal-01020620⟩

Habilitation à diriger des recherches1 document

  • David Gianazza. Méthodes d'optimisation et d'apprentissage appliquées à des problèmes de trafic aérien. Optimisation et contrôle [math.OC]. INP DE TOULOUSE, 2016. ⟨tel-01284493⟩