## Appendix A Principal Extracted Features from Articles
\begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Reference** & **Title** & **Material Object** & **Time Frame** \\ \hline
[339] & Parameterised framework for the analysis of probabilities of aircraft delay at an airport & Airport, Analysis, Airport State Aircraft, Analysis, Aircraft Trajectory, Aircraft Trajectory Indicator & Post-Analysis Post-Analysis \\
[340] & A survival model for flight delay propagation & Optimisation, Airport, Ground Traffic, Ground Traffic 5D Traffic, & Flying \\
[341] & Optimisation, Airport, Ground Traffic & Post-Analysis Pre-Flying \\
[342] & An empirical analysis of delays in the Turkish Airlines network & Optimisation, Aircraft, Aircraft State Analysis, Traffic 5D Traffic Analysis, Training problem with single runway & Post-Analysis Not Referenced \\
[343] & Aircraft line maintenance scheduling and optimisation & Optimisation, Aircraft, Aircraft State Analysis, Traffic 5D Traffic Analysis, Training problem with single runway & Post-Analysis Not Referenced \\
[344] & A novel heuristic approach for solving aircraft landing problem with single runway & Modelling, Airspace, Airspace Structure, Airspace Structure Route & Post-Analysis  
* [61] **Auto-structuration de trafic temps-reel multi-objectif et multi-critere dans un monde virtuel**
* [61] **Dynamic Collision Avoidance using Local Cooperative Airplanes Decisions**
* [62] **Ant colony optimisation for air traffic conflict resolution Modelisation mathematique et resolution automatique de conflits par algorithmes genetiques et par optimisation locale continue**
* [63] **Strategic deconfiction of aircraft trajectories**
* [64] **Multiagent Reinforcement Learning Methods for Resolving Demand--Capacity Imbalances**  
\begin{table}
\begin{tabular}{p{14.2 pt} p{142.3 pt} p{142.3 pt} p{142.3 pt}} \hline
**Reference** & **Title** & **Material Object** & **Time Frame** \\ \hline
[175] & **Topological properties of the air navigation route system using complex network theory** & Analysis, Airspace, Static Structural State, Airspace State Optimisation, Aircraft, Conflict Avoidance, Modelling, Traffic, Aircraft Trajectory, Aircraft 4D Trajectory, Traffic 5D Traffic, 5D Traffic Modelling Aircraft, Prediction, Traffic 5D Trajectory, Aircraft 4D Trajectory, Traffic 5D Trajectory, Traffic 5D Traffic Prediction & Post-Analysis Optimisation, Aircraft, Conflict Avoidance, Modelling, Traffic, Aircraft Trajectory, Aircraft 4D Trajectory, Traffic 5D Traffic 5D Traffic Modelling Aircraft, Prediction, Traffic, Aircraft 4D Trajectory, Traffic 5D Traffic Prediction & Flying,  
* [233] Iterative planning of airport ground movements (2017) Cooperative multi-agent model for collision avoidance applied to air traffic management (2017) Traffic 5D Traffic 5D Traffic Optimisation Aircraft Prediction Traffic, Aircraft Trajectory, Aircraft 4D Trajectory, Traffic 5D Traffic Prediction (2017) (2018) (2019) (2018) (2019) (2020) (2021) (2022) (2023) (2024) (2025) (2026) (2027)  
* [228] Airspace Collision Risk Hot-Spot Identification using Clustering Models  
* [114] Metaheuristics for efficient aircraft scheduling and re-routing at busy terminal control areas
* [115] Increasing stability of crew and aircraft schedules Intelligent computing methods in Air Traffic Flow Management
* [116] Prediction of aircraft performances based on data collected by air traffic control centers
* [117] Development of network restructuring models for improved air traffic forecasts
* [118] Accuracy of reinforcement learning algorithms for predicting aircraft taxi-out times: A case-study of Tampa Bay departures
* [119] Learning the aircraft mass and thrust to improve the ground-based trajectory prediction of climbing flights
* [120] Generating day-of-operation probabilistic capacity scenarios from weather forecasts
* [121] Predicting the operational acceptance of airborne flight reroute requests using data mining Learning aircraft operational factors to improve aircraft climb prediction: A large scale multi-airport study
* [122] A Knowledge-transfer-based learning framework for airspace operation complexity evaluation Analysis of air traffic control operational impact
* [123] on aircraft vertical profiles supported by machine learning
* [124] Estimating runway veer-off risk using a Bayesian network with flight data
* [125] Flight time prediction for fuel loading decisions with a deep learning approach Prediction of runway configurations and airport acceptance rates for multi-airport system using gridded weather forecast
* [126] Short-term prediction of airway congestion index using machine learning methods Temporal logic learning-based anomaly detection in metroplex terminal airspace operations A machine learning approach to air traffic interdependency modelling and its application to trajectory prediction
* [127] Machine learning approach to predict aircraft boarding
* [128] Characterisation and prediction of air traffic delays Aircraft trajectory forecasting using local functional regression in Sobolev space
* [129] A Deep Graph-Embedded LSTM Neural Network Approach for Airport Delay Prediction
* [130] A New Multilevel Input Layer Artificial Neural Network for Predicting Flight Delays at JFK Airport Multi-Aircraft Trajectory Collaborative Prediction Based on Social Long Short-Term Memory Network
* [131] A Deep Learning Approach for Aircraft Trajectory Prediction in Terminal Airspace
* [132] Hybrid Machine Learning and Estimation-Based Flight Trajectory Prediction in Terminal Airspace 3D path planning and real-time collision resolution of multirotor drone operations in complex urban low-altitude airspace  
* [197] Modelling and Detecting Anomalous Safety Events in Approach Flights Using ADS-B Data
* [198] Wind Profile Estimation from Aircraft Derived Data Using Kalman Filters and Gaussian Process Regression Recommending Strategic Air Traffic Management Initiatives in Convective Weather
* [199] Towards Conflict Resolution with Deep Multi-Agent Reinforcement Learning
* [103] Learning Uncertainty Parameters for Tactical Conflict Resolution
* [186] Readback Error Detection by Automatic Speech Recognition to Increase ATM Safety
* [195] Feasibility Study of Free routing Airspace Operation over the North Pacific Airspace
* [196] A machine learning-based framework for aircraft manoeuvre detection and classification
* [197] Aircraft Performance-optimised Departure Flights Using Traffic Flow Funnels
* [198] Real-time departure slotting in mixed-mode operations using deep reinforcement learning: a case study of Zurich airport
* [199] Evaluation of UTM Strategic Deconfiction Through End-to-End Simulation Mid-air collisions with drones Assessment of collision scenarios and of drone operation risks in urban areas
* [199] Reinforcement Learning for Traffic Flow Management Decision Support Predicting arrival delays in the terminal area five hours in advance with machine learning
* [190] Spatial Modelling of Airport Surface Fuel Burn for Environmental Impact Analyses
* [191] A data-driven operational model for traffic at the Dallas Fort Worth International Airport
* [192] Characterisation of delay propagation in the air traffic network
* [193] Air passenger forecasting using Neural Granger causal Google trend queries
* [194] An explainable machine learning approach to improve take-off time predictions Estimating entry counts and ATFM regulations during adverse weather conditions using machine learning
* [195] Prediction and extraction of tower controller commands for speech recognition applications
* [196] Estimating the impact of COVID-19 on air travel in the medium and long term using neural network and Monte Carlo simulation
* [197] Ratio-based design hour determination for airport passenger terminal facilities
* [198] An integrated SWOT-based fuzzy AHP and fuzzy MARCOS methodology for digital transformation strategy analysis in airline industry
* [199]