Review on meta-heuristics approaches for airside operation research
The number of publications related to airside operation research is increasing and gaining
in popularity. This paper aims to provide researchers with a comprehensive and extensive …
in popularity. This paper aims to provide researchers with a comprehensive and extensive …
Using machine learning to analyze air traffic management actions: Ground delay program case study
We model the impact of weather and arrival demand on ground delay program (GDP)
incidence. We use Support Vector Machine (SVM) to analyze how regional convective …
incidence. We use Support Vector Machine (SVM) to analyze how regional convective …
Optimization approaches to the single airport ground-holding problem
This paper surveys optimization approaches to the single airport ground-holding problem.
The article provides a comprehensive summary of six approaches, highlights the merits and …
The article provides a comprehensive summary of six approaches, highlights the merits and …
[HTML][HTML] Flight delay causality: Machine learning technique in conjunction with random parameter statistical analysis
The consequences of flight delay can significantly impact airports' on‐time performance and
airline operations, which have a strong positive correlation with passenger satisfaction …
airline operations, which have a strong positive correlation with passenger satisfaction …
Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources
The field of aviation research is entering the era of big data. While data-driven
advancements in aviation have clearly brought about applicable models and results with …
advancements in aviation have clearly brought about applicable models and results with …
En route speed reduction concept for absorbing air traffic flow management delays
This paper proposes an en route speed reduction to complement current ground delay
practices in air traffic flow management. Given a nominal cruise speed, there exists a …
practices in air traffic flow management. Given a nominal cruise speed, there exists a …
Potential impact of GNSS positioning errors on the satellite‐navigation‐based air traffic management
D Xue, J Yang, Z Liu - Space Weather, 2022 - Wiley Online Library
The traditional air traffic management (ATM) is transforming to the Communication,
Navigation, Surveillance/ATM, which relies on accurate Global Navigation Satellite System …
Navigation, Surveillance/ATM, which relies on accurate Global Navigation Satellite System …
[HTML][HTML] Delay predictive analytics for airport capacity management
Local delay predictions are crucial for optimizing airport capacity management, enhancing
overall resilience, efficiency, and effectiveness of airport operations. This paper delves into …
overall resilience, efficiency, and effectiveness of airport operations. This paper delves into …
Cruise speed reduction for ground delay programs: A case study for San Francisco International Airport arrivals
Abstract Ground Delay Programs (GDP) are sometimes cancelled before their initial planned
duration and for this reason aircraft are delayed when it is no longer needed. Recovering …
duration and for this reason aircraft are delayed when it is no longer needed. Recovering …
Models for single-sector stochastic air traffic flow management under reduced airspace capacity
Air traffic efficiency is heavily influenced by unanticipated factors that result in capacity
reduction. Of these factors, weather is the most significant cause of delays in airport and …
reduction. Of these factors, weather is the most significant cause of delays in airport and …