Predictive classification and understanding of weather impact on airport performance through machine learning
Efficient airport operations depend on appropriate actions and reactions to current
constraints. Local weather events and their impact on airport performance may have network …
constraints. Local weather events and their impact on airport performance may have network …
Flight delay prediction based on deep learning and Levenberg-Marquart algorithm
Flight delay is inevitable and it plays an important role in both profits and loss of the airlines.
An accurate estimation of flight delay is critical for airlines because the results can be …
An accurate estimation of flight delay is critical for airlines because the results can be …
[HTML][HTML] Airline ground operations: Schedule recovery optimization approach with constrained resources
Most airlines have established integrated hub and operations control centers for the
monitoring and adjustment of tactical operations. However, decisions in such a control …
monitoring and adjustment of tactical operations. However, decisions in such a control …
Weather impact on airport performance
Weather events have a significant impact on airport performance and cause delayed
operations if the airport capacity is constrained. We provide quantification of the individual …
operations if the airport capacity is constrained. We provide quantification of the individual …
Assessment of airport arrival congestion and delay: Prediction and reliability
Á Rodríguez-Sanz, FG Comendador, RA Valdés… - … Research Part C …, 2019 - Elsevier
Air traffic networks are highly dependent on airport arrival processes, which are common
triggers for capacity constraints and delay propagation. Arrival Manager tools aim to improve …
triggers for capacity constraints and delay propagation. Arrival Manager tools aim to improve …
Machine learning approach to predict aircraft boarding
M Schultz, S Reitmann - Transportation Research Part C: Emerging …, 2019 - Elsevier
Reliable and predictable ground operations are essential for punctual air traffic movements.
Uncertainties in the airborne phase have significantly less impact on flight punctuality than …
Uncertainties in the airborne phase have significantly less impact on flight punctuality than …
Temporal attention aware dual-graph convolution network for air traffic flow prediction
Air traffic flow prediction is vital for its supporting function for collaborative decision making in
Air Traffic Management. However, due to the inherent spatial and temporal dependencies of …
Air Traffic Management. However, due to the inherent spatial and temporal dependencies of …
[HTML][HTML] Airline ground operations: Optimal schedule recovery with uncertain arrival times
Airline operations are subject to a number of stochastic influences which result into variable
ground and block times for same flights on different days. Our research explores how airline …
ground and block times for same flights on different days. Our research explores how airline …
Passenger-centric Urban Air Mobility: Fairness trade-offs and operational efficiency
Abstract Urban Air Mobility (UAM) envisions safe transportation systems that will exploit new
vertical takeoff and landing electric aircraft to transport passengers or cargo within urban …
vertical takeoff and landing electric aircraft to transport passengers or cargo within urban …
Enhancing airport apron safety through intelligent transportation systems: Proposed FEDA model
The safe operation of an airport apron is a vital part of aviation safety. The fact that accidents
and incidents are still experienced in aviation indicates that safety is still an essential …
and incidents are still experienced in aviation indicates that safety is still an essential …