Ponències/Comunicacions de congressos
Recent Submissions
-
Numerical study of roughness and contact angle effects on water transport in a gas channel
(2017)
Conference report
Open AccessWater accumulation in fuel cell anode and cathode channels can lead to hydrogen starvation and therefore, severe electrode degradation, and significantly fuel cell performance deterioration. For this reason, liquid water ... -
Capacity management based on the integration of dynamic airspace configuration and flight centric ATC solutions using complexity
(2020)
Conference report
Open AccessThis paper presents a new capacity management concept where Dynamic Airspace Configuration (DAC) and Flight Centric ATC (FCA) are dynamically applied together during the Air Traffic Flow and Capacity Management (ATFCM) ... -
On Parametric model mismatch in nonlinear EKF Approximations
(2020)
Conference report
Open AccessStandard state estimation techniques, either for linear or nonlinear systems, typically assume a perfect knowledge of the system, i.e., known process and measurement functions, and the corresponding noise statistics. The ... -
Full-scale pre-tactical route prediction machine learning to increase pre-tactical demand forecast accuracy
(2020)
Conference report
Open AccessThe objective of this paper is to present an artificial intelligence-based methodology to predict the Flight plans that will be received during the pre-tactical phase of the Air Traffic Flow and Capacity Management (ATFCM) ... -
Predicting requested flight levels with machine learning
(Single European Sky ATM Research (SESAR), 2020)
Conference report
Open AccessThe objective of this paper is to present a machine learning approach for the prediction of the Requested Flight Level received during the pre-tactical phase of the Air Traffic Flow and Capacity Management process. A set ... -
Real-time Identification of High-Lift Devices Deployment in Aircraft Descents (An Interacting Multiple Model Filtering Application Validated with Simulated Trajectories)
(Single European Sky ATM Research (SESAR), 2020)
Conference report
Open AccessIn this contribution, we focus on the real-time identification of the moment high-lift devices (typically flaps and slats) are deployed, based on surveillance input data. This estimation aims to enhance ground-based ... -
A novel methodology to predict regulations using deep learning
(Single European Sky ATM Research (SESAR), 2020)
Conference report
Open AccessThe current air traffic control system tries to allocate as many flights as possible in a scenario that is expected to be time-efficient, cost-efficient, and safe. To guaranty these safety conditions, it is performed a ... -
How to achieve CDOs for all aircraft: automated separation in TMAs - enabling flexible entry times and accounting for wake turbulence categories
(2020)
Conference report
Open AccessThis work presents an enhanced optimization framework for fully automated scheduling of energy-efficient descent arrivals with guaranteed separation in the Terminal Maneuvering Area (TMA). On the example of a real heavy-traffic ... -
Advanced statistical signal processing for next generation trajectory prediction
(2020)
Conference report
Open AccessTrajectory Prediction (TP) is fundamental in Air Traffic Management (ATM). This research focuses on TP for the execution phase of the flight. In contrast to exploit black-box machine learning-based solutions, we tackle TP ... -
Identification of significant impact factors on Arrival Flight Efficiency within TMA
(2020)
Conference report
Open AccessAn important step towards improving the flight performance within Terminal Maneuvering Area (TMA) is the identification of the factors causing inefficiencies. Without knowing which exact factors have high impact on which ... -
Comparison of fuel consumption of Continuous Descent Operations with required times of arrival
(2020)
Conference report
Open AccessContinuous descent operations (CDOs) with required times of arrival (RTAs) have proven to deliver major environmental benefits in terminal maneuvering areas (TMAs) without degrading capacity. When traffic density is high, ... -
Drone navigation and avoidance of obstacles through deep reinforcement learning
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessUnmanned aerial vehicles (UAV) specifically drones have been used for surveillance, shipping and delivery, wildlife monitoring, disaster management etc. The increase on the number of drones in the airspace worldwide will ...
RSS 1.0