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Found 7 papers, 2 papers with code
From Voice to Safety: Language AI Powered Pilot-ATC Communication Understanding for Airport Surface Movement Collision Risk Assessment
We show the effectiveness of our approach by simulating two case studies, (a) the Henada airport runway collision accident happened in January 2024; (b) the KATL taxiway collision happened in September 2024.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
A Reinforcement Learning Approach to Quiet and Safe UAM Traffic Management
Urban air mobility (UAM) is a transformative system that operates various small aerial vehicles in urban environments to reshape urban transportation.
The Reliability of Remotely Piloted Aircraft System Performance under Communication Loss and Latency Uncertainties
We start with examining and deriving mathematical formulations of key reliability metrics of Required Communication Performance (RCP).
Cluster & Disperse: a general air conflict resolution heuristic using unsupervised learning
Using unsupervised learning, the core idea of our heuristic is to cluster the conflict points and disperse them in various flight levels.
Noise-Aware and Equitable Urban Air Traffic Management: An Optimization Approach
Urban air mobility (UAM), a transformative concept for the transport of passengers and cargo, faces several integration challenges in complex urban environments.
Risk-aware Urban Air Mobility Network Design with Overflow Redundancy
In our methodology, we first model how disruptions to a given UAM network might impact on the nominal traffic flow and how this flow might be re-accommodated on an extended network with reserve capacity.
Finite-Sample Analysis of Nonlinear Stochastic Approximation with Applications in Reinforcement Learning
To demonstrate the generality of our theoretical results on Markovian SA, we use it to derive the finite-sample bounds of the popular $Q$-learning with linear function approximation algorithm, under a condition on the behavior policy.
