Advanced digital data-driven applications have evolved and significantly impacted the
transportation sector in recent years. This systematic review examines natural language …

Safety occurrence reports can contain valuable information on how incidents occur,
revealing knowledge that can assist safety practitioners. This paper presents and discusses …

View Video Presentation: https://doi. org/10.2514/6.2023-3436. vid Data-driven methods
form the frontier of reactive aviation safety analysis. While analysis of quantitative data from …

View Video Presentation: https://doi. org/10.2514/6.2023-3438. vid The advent of
transformer-based models pre-trained on large-scale text corpora has revolutionized Natural …

Despite all technological advances, runway excursions (REs) remain among the most
frequent aviation accidents. Several factors have been shown to contribute to RE incidents …

As the most important issue in civil aviation, safety needs to be maintained on an acceptable
risk level in the air transport system at all times. Due to the high safety requirements in civil …

View Video Presentation: https://doi. org/10.2514/6.2023-4216. vid Modeling the
environmental effects of aviation accurately is crucial to their mitigation to ensure …

This research investigates the use of large language models and machine learning
techniques to identify the primary triggers for air traffic flow management regulations. The …

In recent years, the civil aviation industry has actively promoted the automation and
intelligence of control processes with the increasing use of various artificial intelligence …

Next-generation air routing aims to revolutionize flight planning by integrating artificial
intelligence (AI), multi-objective optimization, and collaborative decision making to improve …