Search Results - "Sáez Nieto, Francisco"

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  1. 1

    Application of Bayesian Networks and Information Theory to Estimate the Occurrence of Mid-Air Collisions Based on Accident Precursors by Arnaldo Valdés, Rosa, Liang Cheng, Schon, Gómez Comendador, Victor, Sáez Nieto, Francisco

    Published in Entropy (Basel, Switzerland) (14-12-2018)
    “…This paper combines Bayesian networks (BN) and information theory to model the likelihood of severe loss of separation (LOS) near accidents, which are…”
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    Journal Article
  2. 2

    A Case Study of Fishbone Sequential Diagram Application and ADREP Taxonomy Codification in Conventional ATM Incident Investigation by Liang Cheng, Schon, Arnaldo Valdés, Rosa, Gómez Comendador, Victor, Sáez Nieto, Francisco

    Published in Symmetry (Basel) (01-04-2019)
    “…This paper aims to present the application of a fishbone sequential diagram in air traffic management (ATM) incident investigations performing as a key…”
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    Journal Article
  3. 3

    The development of probabilistic models to estimate accident risk (due to runway overrun and landing undershoot) applicable to the design and construction of runway safety areas by ARNALDO VALDES, Rosa Maria, GOMEZ COMENDADOR, Fernando, MIJARES GORDUN, Luis, SAEZ, Francisco J

    Published in Safety science (01-06-2011)
    “…► Runway Overrun-Undershoot risk depends on multiple factors and operating conditions. ► Risk Models allows assessing risk level when safety areas standards…”
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    Journal Article
  4. 4

    Analysis of air traffic control operational impact on aircraft vertical profiles supported by machine learning by Verdonk Gallego, Christian Eduardo, Gómez Comendador, Víctor Fernando, Sáez Nieto, Francisco Javier, Orenga Imaz, Guillermo, Arnaldo Valdés, Rosa María

    “…•The impact ATC vertical procedures on the trajectory vertical profile is limited.•Results for neural networks predictors have outperformed point-mass…”
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    Journal Article
  5. 5

    Detection of Common Causes between Air Traffic Serious and Major Incidents in Applying the Convolution Operator to Heinrich Pyramid Theory by Liang Cheng, Schon Z. Y., Arnaldo Valdés, Rosa Maria, Gómez Comendador, Víctor Fernando, Sáez Nieto, Francisco Javier

    Published in Entropy (Basel, Switzerland) (01-12-2019)
    “…Heinrich’s pyramid theory is one of the most influential theories in accident and incident prevention, especially for industries with high safety requirements…”
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    Journal Article
  6. 6
  7. 7

    A data-driven methodology for characterization of a terminal manoeuvring area in multi-airport systems by Amaro Carmona, Manuel Angel, Saez Nieto, Francisco, Verdonk Gallego, Christian Eduardo

    “…•Trajectory analysis could be used to determine the deviation of aircraft trajectories.•Predicting deviation patterns in the airspace helps to improve air…”
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    Journal Article
  8. 8

    STAM-based methodology to prevent concurrence events in a Multi-Airport System (MAS) by Schefers, Nina, Amaro Carmona, Manuel Angel, Ramos González, Juan José, Saez Nieto, Francisco, Folch, Pau, Munoz-Gamarra, José Luis

    “…•New departure synchronization mechanism in a Multi-Airport system to reduce the probability of separation minima infringement.•Airspace digitalization for…”
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    Journal Article
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  10. 10

    Bayesian inference in Safety Compliance Assessment under conditions of uncertainty for ANS providers by Arnaldo Valdés, Rosa, Gomez Comendador, Victor Fernando, Perez Castan, Javier Alberto, Rodriguez Sanz, Alvaro, Perez Sanz, Luis, Saez Nieto, Francisco Javier, Sanchez Aira, Eduardo

    Published in Safety science (01-07-2019)
    “…•Solves the issue of compliance for systems that lack data and operational history.•Avoid lack of operational data and uncertainty leading to erroneous…”
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    Journal Article
  11. 11

    Finding Precursory Air Traffic Management Safety Metrics Using Exploration of Trajectory Radar Tracks by Barragán Montes, Rocío, Gómez Comendador, Fernando, Sáez Nieto, Francisco Javier, Pérez Sanz, Luis

    Published in Journal of aerospace engineering (01-01-2018)
    “…AbstractThe definition of a set of precursory safety metrics is critical to detect when an airspace is degrading in terms of safety and thus undesired effects…”
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    Journal Article
  12. 12

    Discussion On Density-Based Clustering Methods Applied for Automated Identification of Airspace Flows by Gallego, Christian Eduardo Verdonk, Gomez Comendador, Victor Fernando, Saez Nieto, Francisco Javier, Martinez, Miguel Garcia

    “…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…”
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    Conference Proceeding