Aviation Commons^™

Deep Learning Prediction Models For Runway Configuration Selection And Taxi Times Based On Surface Weather, Shlok Misra

Doctoral Dissertations and Master's Theses

Growth in air traffic demand in the United States has led to an increase in ground delays at major airports in the nation. Ground delays, including taxi time delays, directly impacts the block time and block fuel for flights which affects the airlines operationally and financially. Additionally, runway configuration selection at an airport significantly impacts the airport capacity, throughput, and delays as it is vital in directing the flow of air traffic in and out of an airport. Runway configuration selection is based on interrelated factors, including weather variables such as wind and visibility, airport facilities such as instrument approach …

Machine Learning And Artificial Intelligence Methods For Cybersecurity Data Within The Aviation Ecosystem, Anna Baron Garcia

Doctoral Dissertations and Master's Theses

Aviation cybersecurity research has proven to be a complex topic due to the intricate nature of the aviation ecosystem. Over the last two decades, research has been centered on isolated modules of the entire aviation systems, and it has lacked the state-of-the-art tools (e.g. ML/AI methods) that other cybersecurity disciplines have leveraged in their fields. Security research in aviation in the last two decades has mainly focused on: (i) reverse engineering avionics and software certification; (ii) communications due to the rising new technologies of Software Defined Radios (SDRs); (iii) networking cybersecurity concerns such as the inter and intra connections of …

Commercial Short-Haul Flight Or Autonomous Mobility-On-Demand: Modeling Air Passengers’ Modal Choice, Agatha Kessler Fentress

Doctoral Dissertations and Master's Theses

Commercial short-haul flights (SF) are vital to airports and airlines because they account for one-third of hub traffic and have higher profit margins than the long-haul market. While U.S. commercial air passenger travel has increased steadily over the past decades, SF has been declining and was doing so before the unprecedented decrease in air travel caused by restrictions related to the COVID-19 global pandemic. Once autonomous mobility-on-demand (aMoD) is more viable than the human-driven car, demand for SF could be negatively impacted. Although there is published research on SF and aMoD, studies on factors influencing the choice between SF and …

Determining Contributing Factors For Passenger Airline Pilot Perceived Fatigue, Heidi C. Kim

Doctoral Dissertations and Master's Theses

Fatigue is a recurring concern for pilots and continues to be a common contributing cause of aircraft accidents. The purpose of the dissertation was to determine factors that influence fatigue in commercial airline pilots. The ability to accurately associate fatigue in pilots before a flight begins could have a profound and meaningful impact on aviation safety. Seven factors were identified in the literature review as having possible predictive capabilities of perceived fatigue in pilots working for passenger carriers, including time awake, perceived stress, sleep quality, hours of sleep, age, typically scheduled start time, and hours on duty.

An …

Prediction Of Severity Of Aviation Landing Accidents Using Support Vector Machine Models, Dezsö V. Silagyi

Doctoral Dissertations and Master's Theses

The purpose of this study was to apply support vector machine (SVM) models to predict the severity of aircraft damage and the severity of personal injury during an aircraft approach and landing accident and to evaluate and rank the importance of 14 accident factors to the severity. Three new factors were introduced using the theory of inattentional blindness: The presence of visual area surface penetrations for a runway, the Federal Aviation Administration’s (FAA) visual area surface penetration policy timeframe, and the type of runway approach lighting.

The study comprised 1,297 aircraft approach and landing accidents at airports within the United …

Comparing Training Effects Of Virtual Reality Flight Simulation To Conventional Pc-Based Flight Simulation, Tianxin Zhang

Doctoral Dissertations and Master's Theses

The purpose of the current project was to investigate the effect of utilizing Virtual Reality (VR) technologies for flight training by comparing the training results when using conventional desktop flight simulation versus VR flight simulation. Additionally, this project examined the user experience of VR flight simulation and how users’ motivation and satisfaction with VR simulations. This research employed a quasi-transfer of training experiment including 48 participants. Analyses indicated that VR group participants performed better in the post-training maneuver performance on an FTD than in the conventional desktop simulation group. Findings also supported that VR flight simulation could provide a better …

Intention To Complain About Unmanned Aircraft System Noise: A Structural Equation Analysis, Robert Brents

Doctoral Dissertations and Master's Theses

Aircraft noise has a long and documented history as a source of public annoyance and a driver of noise complaints. The impending large-scale use of unmanned aircraft systems (UAS)s could expose a broader cross-section of the public to a new type of aircraft noise. Recent research notes some reactions to UAS noise, but no rigorous analyses of public intention to complain about UAS noise have been found.

Due to the potential proliferation of UASs and their attendant noise, understanding public reaction could advise both government and industry. Governments at all levels could apply the results to inform policies related to …