This paper introduces a novel and robust data-driven algorithm designed for Aircraft
Trajectory Prediction (ATP). The approach employs a Neural Network architecture to predict …

This paper describes an adaptive method to predict the battery discharge of a multirotor
drone over a generic path. A proper assessment of battery state of discharge trend is critical …

Abstract Air Traffic Management is evolving towards a Trajectory-Based Operations
paradigm. Trajectory prediction will hold a key role supporting its deployment, but it is limited …

In this work, a deep Gaussian process (DGP) based framework is proposed to improve the
accuracy of predicting flight trajectory in air traffic research, which is further applied to …

A probabilistic method for aircraft conflict detection and resolution considering the effects of
wind forecast uncertainty is presented in this paper. The wind components are modeled as …

The existence of significant uncertainties in the models and systems required for trajectory
prediction represents a major challenge for the Air traffic Management (ATM) system …

In order to improve the optimization performance of differential evolution (DE), a hybrid
optimization algorithm (abbreviated as DEHHO) based on DE and Harris hawks optimization …

Pilots operating aircraft in non-towered terminal airspace rely on their situational awareness
and prior knowledge to predict the future trajectories of other agents. These predictions are …

Aircraft trajectory planning is affected by various uncertainties. Among them, those in
weather prediction have a large impact on the aircraft dynamics. Trajectory planning that …

Uncertainties are inherent in aircraft trajectory planning. Trajectories designed under
deterministic hypotheses can cause significant performance degradation or constraint …