Aniel Jardines
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Pre‐tactical convection prediction for air traffic flow management using LSTM neural network Open
This paper aims to explore machine learning techniques for post‐processing high‐resolution Numerical Weather Prediction (NWP) products for the early detection of convection. Data from the Arome Ensemble Prediction System and satellite obse…
Predicting Air Traffic Flow Management hotspots due to weather using Convolutional Neural Networks Open
Convective weather is a major source of disruption to air traffic operations responsible for roughly one third of en-route delay in the network. Understanding how weather impact air traffic flows is an important first step in improving Air…
Fast 4D flight planning under uncertainty through parallel stochastic path simulation Open
The Air Traffic Management system is evolving to deal with efficiency, capacity, safety and environmental challenges. Progress along these fronts requires the development of trajectory planning and prediction tools that can go beyond the c…
ISOBAR SESAR - Artificial intelligence solutions to meteo-based air traffic imbalances for network operations planning Open
<p>Flight delays are one of the major concerns in air traffic management. The impact of flight delays represents financial and time losses and may derive in loss of reputation of the air traffic business. On average weather accounts …
Estimating entry counts and ATFM regulations during adverse weather conditions using machine learning Open
In recent years, convective weather has been the cause of significant delays in the European airspace. With climate experts anticipating the frequency and intensity of convective weather to increase in the future, it is necessary to find s…
Convection indicator for pre-tactical air traffic flow management using neural networks Open
Convective weather is a large source of disruption for air traffic management operations. Being able to predict thunderstorms the day before operations can help traffic managers plan around weather and improve air traffic flow management o…
Predicting Convective Storm Characteristics using Machine Learning from Hi-Resolution NWP Forecasts Open
<p>Convective weather&#160;represents a significant disruption to air traffic flow management (ATFM) operations. Thunderstorms&#160;are the cause for a substantial amount of delay in&#160;both the en-route and airport&…