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Memorias de investigación
Ponencias en congresos:
Discussion On Density-Based Clustering Methods Applied for Automated Identification of Airspace Flows
Año:2018
Áreas de investigación
  • Control de vuelo,
  • Control del tráfico aéreo,
  • Gestión del tráfico aéreo,
  • Transporte aéreo,
  • Aviación civil
Datos
Descripción
Air Traffic Management systems generate a huge amount of track data daily. Flight trajectories can be clustered to extract main air traffic flows by means of unsupervised machine learning techniques. A well-known methodology for unsupervised extraction of air traffic flows conducts a two-step process. The first step reduces the dimensionality of the track data, whereas the second step clusters the data based on a density-based algorithm, DBSCAN. This paper explores advancements in density-based clustering such as OPTICS or HDBSCAN*. This assessment is based on quantitative and qualitative evaluations of the clustering solutions offered by these algorithms. In addition, the paper proposes a hierarchical clustering algorithm for handling noise in this methodology. This algorithm is based on a recursive application of DBSCAN* (RDBSCAN*). The paper demonstrates the sensitivity of these algorithms to different hyper-parameters, recommending a specific setting for the main one, which is common for all methods. RDBSCAN* outperforms the other algorithms in terms of the density-based internal validity metric. Finally, the outcome of the clustering shows that the algorithm extracts main clusters of the dataset effectively, connecting outliers to these main clusters.
Internacional
Si
Nombre congreso
37th Digital Avionics Systems Conference (DASC 2017)
Tipo de participación
960
Lugar del congreso
Londres
Revisores
Si
ISBN o ISSN
978-1-5386-4112-5
DOI
Fecha inicio congreso
23/09/2018
Fecha fin congreso
27/09/2018
Desde la página
584
Hasta la página
593
Título de las actas
Discussion On Density-Based Clustering Methods Applied for Automated Identification of Airspace Flows
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Cristian Eduardo Verdonk Gallego (UPM)
  • Autor: Victor Fernando Gomez Comendador (UPM)
  • Autor: Fco. Javier Saez Nieto (UPM)
  • Autor: Miguel García Martínez (CRIDA A.I.E.)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Navegación Aérea
  • Departamento: Sistemas Aeroespaciales, Transporte Aéreo y Aeropuertos
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