David Gianazza

Documents

Researcher identifiers

david-gianazza
IdRef : 086301438
VIAF : 210122954
0000-0002-9294-3422

Presentation

Publications

	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), ⟨10.1007/s10846-022-01782-2⟩ Journal articles hal-03948501v1
	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⟩ Journal articles hal-01878615v1
	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⟩ Journal articles 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⟩ Journal articles hal-01181173v1
	Wind parameters extraction from aircraft trajectories Christophe Hurter , Richard Alligier , David Gianazza , Stéphane Puechmorel , Gennady Andrienko Computers, Environment and Urban Systems, 2014, pp 1-16. ⟨10.1016/j.compenvurbsys.2014.01.005⟩ Journal articles hal-00987690v1
	Interactive image-based information visualization for aircraft trajectory analysis Christophe Hurter , Stéphane Conversy , David Gianazza , Alexandru C Telea Transportation research. Part C, Emerging technologies, 2014, pp.207-227. ⟨10.1016/j.trc.2014.03.005⟩ Journal articles hal-00987451v1
	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⟩ Journal articles hal-00907651v1
	Forecasting workload and airspace configuration with neural networks and tree search methods David Gianazza Artificial Intelligence, 2010, 174 (7-8), pp 530-549. ⟨10.1016/j.artint.2010.03.001⟩ Journal articles hal-01020725v1
	Algorithme évolutionnaire et A* pour la séparation en 3D des flux de trafic aérien David Gianazza Journal Européen des Systèmes Automatisés (JESA), 2004, 38 (9-10), pp 1065-1095. ⟨10.3166/jesa.38.1065-1095⟩ Journal articles hal-01020118v1

	Ant Colony Systems for Optimizing Sequences of Airspace Partitions David Gianazza , Nicolas Durand 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⟩ Conference papers hal-02547511v1
	Optimizing Successive Airspace Configurations with a Sequential A * Algorithm David Gianazza ATM 2019, 13th USA/Europe Air Traffic Management Research and Development Seminar, Jun 2019, Vienne, Austria Conference papers hal-02178437v1
	Learning Air Traffic Controller Workload from Past Sector Operations David Gianazza ATM Seminar, 12th USA/Europe Air Traffic Management R&D Seminar, Jun 2017, Seattle, United States Conference papers hal-01592233v1
	Analysis of a Workload Model Learned from Past Sector Operations David Gianazza SID 2017, 7th SESAR Innovation Days, Nov 2017, Belgrade, Serbia Conference papers hal-01652046v1
	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 Conference papers 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 Conference papers 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 Conference papers hal-01002401v1
	Statistical prediction of aircraft trajectory : regression methods vs point-mass model Mohammad Ghasemi Hamed , David Gianazza , Mathieu Serrurier , Nicolas Durand ATM 2013, 10th USA/Europe Air Traffic Management Research and Development Seminar, Jun 2013, Chicago, United States. pp xxxx Conference papers hal-00911709v1
	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 Conference papers hal-00911686v1
	Résolution de conflits aériens par un algorithme à évolution différentielle Charlie Vanaret , David Gianazza , Jean-Baptiste Gotteland , Nicolas Durand 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 Conference papers hal-00864898v1
	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 Conference papers hal-00938734v1
	Finding and proving the optimum : cooperative stochastic and deterministic search Jean-Marc Alliot , Nicolas Durand , David Gianazza , Jean-Baptiste Gotteland ECAI 2012, 20th European Conference on Artificial Intelligence, Aug 2012, Montpellier, France. pp xxxx Conference papers hal-00938712v1
	Benchmarking conflict resolution algorithms Charlie Vanaret , David Gianazza , Nicolas Durand , Jean-Baptiste Gotteland ICRAT 2012, 5th International Conference on Research in Air Transportation, May 2012, Berkeley, United States Conference papers hal-00863090v1
	Implementing an interval computation library for OCaml on x86/amd64 architectures Jean-Marc Alliot , Jean-Baptiste Gotteland , Charlie Vanaret , Nicolas Durand , David Gianazza OUD 2012, OCaml Users and Developers workshop, Sep 2012, Copenhagen, Denmark Conference papers hal-00934812v1
	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 Conference papers hal-00940961v1
	A participatory design for the visualization of airspace configuration forecasts Nicolas Saporito , Christophe Hurter , David Gianazza , Geraldine Beboux ICRAT 2010, 4th International Conference on Research in Air Transportation, Jun 2010, Budapest, Hungary. pp xxxx Conference papers hal-00938480v1
	An efficient airspace configuration forecast David Gianazza , Cyril Allignol , Nicolas Saporito ATM 2009, 8th USA/Europe Air Traffic Management Research and Developpment Seminar, Jun 2009, Napa, United States. pp xxxx Conference papers hal-01020720v1
	Smoothed traffic complexity metrics for airspace configuration schedules David Gianazza ICRAT 2008, 3rd International Conference on Research in Air Transportation, Jun 2008, Fairfax, United States. pp xxxx Conference papers hal-01020711v1
	Airspace configuration using air traffic complexity metrics David Gianazza ATM 2007, 7th USA/ Europe Air Traffic Management Research and Developpment Seminar, Jul 2007, Barcelona, Spain. pp xxxx Conference papers hal-00938172v1
	Évaluation of air traffic complexity metrics using neural networks and sector status David Gianazza , Kevin Guittet ICRAT 2006, 2nd International Conference on Research in Air Transportation, Jun 2006, Belgrade, Serbia. pp xxxx Conference papers hal-00938105v1
	Selection and evaluation of air traffic complexity metrics David Gianazza , Kevin Guittet DASC 2006, 25th Digital Avionics Systems Conference, Oct 2006, Portland, United States. pp 1-12, ⟨10.1109/DASC.2006.313710⟩ Conference papers hal-00938180v1
	Assessment of the 3D-separation of Air Traffic Flows David Gianazza , Nicolas Durand ATM 2005, 6th USA/ Europe Air Traffic Management Research and Development Seminar, Jun 2005, Baltimore, United States. pp xxxx Conference papers hal-00938079v1
	Allocating 3D-trajectories to air traffic flows using A* and genetic algorithms David Gianazza , Nicolas Durand , Nicolas Archambault CIMCA 2004, international conference on Computational Intelligence for Modelling, Control and Automation, Jul 2004, Gold Coast, Australia. pp xxxx Conference papers hal-01020102v1
	Separating air traffic flows by allocating 3D-trajectories David Gianazza , Nicolas Durand 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⟩ Conference papers hal-00938063v1
	Optimisation des flux de trafic aérien : allocation de niveaux de vols et définition de trajectoires 3D David Gianazza EDIT 2003, Colloque des doctorants de l'École Doctorale Informatique et Télécommunications, Apr 2003, Toulouse, France Conference papers hal-00990278v1
	Optimisation des schémas d'ouverture des secteurs de contrôle aérien par méthodes classiques et algorithmes génétiques David Gianazza EDIT 2002, Colloque des doctorants de l'École Doctorale Informatique et Télécommunications, Mar 2002, Toulouse, France Conference papers hal-00990349v1
	Optimization of air traffic control sector configurations using tree search methods and genetic algorithms David Gianazza , Jean-Marc Alliot DASC 2002, Digital Avionics Systems Conference, Oct 2002, Irvine, United States. pp 2A5-1 - 2A5-8, ⟨10.1109/DASC.2002.1067912⟩ Conference papers hal-00990194v1
	Optimal combinations of Air Traffic Control sectors using classical and stochastic methods David Gianazza , Jean-Marc Alliot , Géraud Granger IC-AI 2002, International Conference on Artificial Intelligence, Jun 2002, Las Vegas, United States Conference papers hal-00990320v1
	Validation d'un système critique par rétro-conception formelle David Gianazza , F. Girard , M. Lemoine , D. Marre , F. Preux GL1997, Congrès Génie Logiciel et ses Applications, Dec 1997, Paris, France. pp 118-122 Conference papers hal-00990391v1

	Optimisation du roulage David Gianazza , Jean-Baptiste Gotteland Journée de la Recherche ENAC 2014, Feb 2014, Toulouse, France Conference poster hal-01011539v1

	Metaheuristics for Air Traffic Management Nicolas Durand , David Gianazza , Jean-Baptiste Gotteland , Jean-Marc Alliot ISTE/Wiley, 2015, 9781848218109. ⟨10.1002/9781119261513.ch1⟩ Books hal-01278359v1

	Apprentissage artificiel et application en gestion du trafic aérien David Gianazza Techniques de l'Ingénieur, Technqiues de l'ingénieur, 2018, Innovations en électronique et TIC Book sections hal-02967668v1
	Applications to Air Traffic Management Nicolas Durand , David Gianazza , Jean-Baptiste Gotteland , Charlie Vanaret , Jean-Marc Alliot 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⟩ Book sections hal-01424992v1

	Réseaux de neurones appliqués aux indicateurs de complexité et aux regroupements de secteurs aériens David Gianazza 2006 Reports hal-01020633v1
	Analyse descriptive des indicateurs de complexité du trafic aérien à partir des données IMAGE et COURAGE Kevin Guittet , David Gianazza [Research Report] Ecole Nationale de l'Aviation Civile. 2005 Reports hal-01020620v1

	Méthodes d'optimisation et d'apprentissage appliquées à des problèmes de trafic aérien David Gianazza Optimisation et contrôle [math.OC]. INP DE TOULOUSE, 2016 Habilitation à diriger des recherches tel-01284493v1

David Gianazza

Presentation

Publications

Dual-Horizon Reciprocal Collision Avoidance for Aircraft and Unmanned Aerial Systems

Learning aircraft operational factors to improve aircraft climb prediction: A large scale multi-airport study

High Confidence Intervals Applied to Aircraft Altitude Prediction

Machine Learning and Mass Estimation Methods for Ground-Based Aircraft Climb Prediction

Wind parameters extraction from aircraft trajectories

Interactive image-based information visualization for aircraft trajectory analysis

Learning the aircraft mass and thrust to improve the ground-based trajectory prediction of climbing flights

Forecasting workload and airspace configuration with neural networks and tree search methods

Algorithme évolutionnaire et A* pour la séparation en 3D des flux de trafic aérien

Ant Colony Systems for Optimizing Sequences of Airspace Partitions

Optimizing Successive Airspace Configurations with a Sequential A * Algorithm

Learning Air Traffic Controller Workload from Past Sector Operations

Analysis of a Workload Model Learned from Past Sector Operations

Predicting Aircraft Descent Length with Machine Learning

Machine Learning Applied to Airspeed Prediction During Climb

Comparison of Two Ground-based Mass Estimation Methods on Real Data

Statistical prediction of aircraft trajectory : regression methods vs point-mass model

Ground-based estimation of the aircraft mass, adaptive vs. least squares method

Résolution de conflits aériens par un algorithme à évolution différentielle

Energy rate prediction using an equivalent thrust setting profile

Finding and proving the optimum : cooperative stochastic and deterministic search

Benchmarking conflict resolution algorithms

Implementing an interval computation library for OCaml on x86/amd64 architectures

Ground-based prediction of aircraft climb : point-mass model vs regression methods

A participatory design for the visualization of airspace configuration forecasts

An efficient airspace configuration forecast

Smoothed traffic complexity metrics for airspace configuration schedules

Airspace configuration using air traffic complexity metrics

Évaluation of air traffic complexity metrics using neural networks and sector status

Selection and evaluation of air traffic complexity metrics

Assessment of the 3D-separation of Air Traffic Flows

Allocating 3D-trajectories to air traffic flows using A* and genetic algorithms

Separating air traffic flows by allocating 3D-trajectories

Optimisation des flux de trafic aérien : allocation de niveaux de vols et définition de trajectoires 3D

Optimisation des schémas d'ouverture des secteurs de contrôle aérien par méthodes classiques et algorithmes génétiques

Optimization of air traffic control sector configurations using tree search methods and genetic algorithms

Optimal combinations of Air Traffic Control sectors using classical and stochastic methods

Validation d'un système critique par rétro-conception formelle

Optimisation du roulage

Metaheuristics for Air Traffic Management

Apprentissage artificiel et application en gestion du trafic aérien

Applications to Air Traffic Management

Réseaux de neurones appliqués aux indicateurs de complexité et aux regroupements de secteurs aériens

Analyse descriptive des indicateurs de complexité du trafic aérien à partir des données IMAGE et COURAGE

Méthodes d'optimisation et d'apprentissage appliquées à des problèmes de trafic aérien