Search Results - "Sáez Nieto, Francisco"
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Application of Bayesian Networks and Information Theory to Estimate the Occurrence of Mid-Air Collisions Based on Accident Precursors
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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A Case Study of Fishbone Sequential Diagram Application and ADREP Taxonomy Codification in Conventional ATM Incident Investigation
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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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
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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4
Analysis of air traffic control operational impact on aircraft vertical profiles supported by machine learning
Published in Transportation research. Part C, Emerging technologies (01-10-2018)“…•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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Detection of Common Causes between Air Traffic Serious and Major Incidents in Applying the Convolution Operator to Heinrich Pyramid Theory
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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A machine learning approach to air traffic interdependency modelling and its application to trajectory prediction
Published in Transportation research. Part C, Emerging technologies (01-10-2019)“…•A time-based horizontal interdependency metric is defined and validated.•The location of the TOD was shown to be statistically dependent on the…”
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A data-driven methodology for characterization of a terminal manoeuvring area in multi-airport systems
Published in Transportation research. Part C, Emerging technologies (01-02-2020)“…•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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STAM-based methodology to prevent concurrence events in a Multi-Airport System (MAS)
Published in Transportation research. Part C, Emerging technologies (01-01-2020)“…•New departure synchronization mechanism in a Multi-Airport system to reduce the probability of separation minima infringement.•Airspace digitalization for…”
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Development of safety performance functions (SPFs) to analyse and predict aircraft loss of separation in accordance with the characteristics of the airspace
Published in Reliability engineering & system safety (01-06-2019)“…•Aircraft losses of separation modelled as count data with an excess of zeros.•A data driven approach to characterise the losses of separation between…”
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Bayesian inference in Safety Compliance Assessment under conditions of uncertainty for ANS providers
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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Finding Precursory Air Traffic Management Safety Metrics Using Exploration of Trajectory Radar Tracks
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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12
Discussion On Density-Based Clustering Methods Applied for Automated Identification of Airspace Flows
Published in 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC) (01-09-2018)“…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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