Cover Image

Graph-based Complexity Forecasts in UK En Route Airspace Using Relevant Aircraft Interactions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Henderson, Edward, De Ath, George, Pepper, Nick
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity
by: Henderson, Edward, et al.
Published: (2025)

A Probabilistic Digital Twin of UK En Route Airspace for Training and Evaluating AI Agents for Air Traffic Control
by: Pepper, Nick, et al.
Published: (2026)

Learning Generative Models for Climbing Aircraft from Radar Data
by: Pepper, Nick, et al.
Published: (2023)

Fast Surrogate Models for Adaptive Aircraft Trajectory Prediction in En route Airspace
by: Pepper, Nick, et al.
Published: (2026)

Toward Safe Integration of UAM in Terminal Airspace: UAM Route Feasibility Assessment using Probabilistic Aircraft Trajectory Prediction
by: Cho, Jungwoo, et al.
Published: (2025)

Human-in-the-Loop Testing of AI Agents for Air Traffic Control with a Regulated Assessment Framework
by: Carvell, Ben, et al.
Published: (2026)

eVTOL Aircraft Energy Overhead Estimation under Conflict Resolution in High-Density Airspaces
by: Zongo, Alex, et al.
Published: (2026)

Online Action-Stacking Improves Reinforcement Learning Performance for Air Traffic Control
by: Carvell, Ben, et al.
Published: (2026)

AirTrafficGen: Configurable Air Traffic Scenario Generation with Large Language Models
by: Gould, Dewi Sid William, et al.
Published: (2025)

Geometric Principles for Machine Learning of Dynamical Systems
by: Conti, Zack Xuereb, et al.
Published: (2025)

Intercepting Unauthorized Aerial Robots in Controlled Airspace Using Reinforcement Learning
by: Giral, Francisco, et al.
Published: (2024)

Inferring Traffic Models in Terminal Airspace from Flight Tracks and Procedures
by: Jung, Soyeon, et al.
Published: (2023)

A Future Capabilities Agent for Tactical Air Traffic Control
by: Kent, Paul, et al.
Published: (2026)

Temporal Knowledge Graph Hyperedge Forecasting: Exploring Entity-to-Category Link Prediction
by: Markai, Edward, et al.
Published: (2025)

Transformer-based Multi-agent Reinforcement Learning for Separation Assurance in Structured and Unstructured Airspaces
by: Aziz, Arsyi, et al.
Published: (2026)

Meta Policy Switching for Secure UAV Deconfliction in Adversarial Airspace
by: Panda, Deepak Kumar, et al.
Published: (2025)

VitaGraph: Building a Knowledge Graph for Biologically Relevant Learning Tasks
by: Madeddu, Francesco, et al.
Published: (2025)

TartanAviation: Image, Speech, and ADS-B Trajectory Datasets for Terminal Airspace Operations
by: Patrikar, Jay, et al.
Published: (2024)

Data-driven Probabilistic Trajectory Learning with High Temporal Resolution in Terminal Airspace
by: Xiang, Jun, et al.
Published: (2024)

Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition
by: Li, Dongyuan, et al.
Published: (2026)

Air Quality Forecasting Using Machine Learning: A Global perspective with Relevance to Low-Resource Settings
by: Christian, Mulomba Mukendi, et al.
Published: (2024)

A Predictive Services Architecture for Efficient Airspace Operations
by: de Oliveira, Ítalo Romani, et al.
Published: (2025)

Process-Informed Forecasting of Complex Thermal Dynamics in Pharmaceutical Manufacturing
by: Rubini, Ramona, et al.
Published: (2025)

Multi-output Extreme Spatial Model for Complex Aircraft Production Systems
by: Lee, Cheolhei, et al.
Published: (2026)

The Complexity Dynamics of Grokking
by: DeMoss, Branton, et al.
Published: (2024)

Graph Convolutional Network With Pattern-Spatial Interactive and Regional Awareness for Traffic Forecasting
by: Ji, Xinyu, et al.
Published: (2025)

Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval
by: Ramachandran, Ashwin, et al.
Published: (2025)

Hierarchical Attention-based Graph Neural Network with Relevance-driven Pruning
by: Kum, Seungwoo
Published: (2026)

LoRe: Adaptive Interaction-Evaluation Routing with Per-Step Interaction Budgets for Iterative Graph Solvers
by: Li, Jintao, et al.
Published: (2026)

ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting
by: Liu, Xvyuan, et al.
Published: (2025)

Relevant Walk Search for Explaining Graph Neural Networks
by: Xiong, Ping, et al.
Published: (2026)

Destroy and Repair Using Hyper Graphs for Routing
by: Li, Ke, et al.
Published: (2025)

Approximating the Number of Relevant Variables in a Parity Implies Proper Learning
by: Bshouty, Nader H., et al.
Published: (2024)

The Local Interaction Basis: Identifying Computationally-Relevant and Sparsely Interacting Features in Neural Networks
by: Bushnaq, Lucius, et al.
Published: (2024)

Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
by: Liu, Aoyu, et al.
Published: (2022)

The Relevance of AWS Chronos: An Evaluation of Standard Methods for Time Series Forecasting with Limited Tuning
by: Baron, Matthew, et al.
Published: (2025)

Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting
by: Zhong, Siru, et al.
Published: (2026)

PersonalizedRouter: Personalized LLM Routing via Graph-based User Preference Modeling
by: Dai, Zhongjie, et al.
Published: (2025)

Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace Authorizations
by: Gohar, Usman, et al.
Published: (2024)

Towards Invariant Time Series Forecasting in Smart Cities
by: Zhang, Ziyi, et al.
Published: (2024)