Management and Operations Commons^™

Advanced Air Mobility (Aam) Is Coming To A Town Near You...Are You Ready?, Sarah Nilsson

Publications

This briefing provides a high and low altitude view of what is coming in the way of Advanced Air Mobility (AAM) innovation. It is meant for county, town, or city officials; tribal governments; local businesspersons; airport, heliport, Fixed Base Operator (FBO), flight schools’ owners/operators; and other individuals; who wish to capitalize on, and prepare for, a US industry expected to hit around USD 68 Billion by 2032. Is your community or organization prepared for this new economy? Are your customers, or constituents accepting of these new technologies? Are you ready to capitalize on this AAM market and all the growth …

Advanced Air Mobility (Aam) Is Coming To A Town Near You...Are You Ready?, Sarah Nilsson

Publications

This briefing provides a high and low altitude view of what is coming in the way of Advanced Air Mobility (AAM) innovation. It is meant for county, town, or city officials; tribal governments; local businesspersons; airport, heliport, Fixed Base Operator (FBO), flight schools’ owners/operators; and other individuals; who wish to capitalize on, and prepare for, a US industry expected to hit around USD 68 Billion by 2032. Is your community or organization prepared for this new economy? Are your customers, or constituents accepting of these new technologies? Are you ready to capitalize on this AAM market and all the growth …

Smart Airports: Artificial Intelligence–Enabled Internet Of Things Networks Using Blockchain Technology, Edwin Ongola

Journal of Aviation Technology and Engineering

This article provides a perspective on how an internet of heterogeneous self-service airport terminal systems can be used for data collection, which is stored on a private or consortium blockchain depending on the ownership or operations of an airport or both. Such a setup would help to increase efficiency, reduce costs, and improve traveler experience at airport terminals. Moreover, it would allow airports to gather data directly from passengers as opposed to waiting to receive the same data from airlines. Subsequently, this data, now on a blockchain system, becomes a data source for other applications such as machine learning. In …

Vertiport Ventures: Assessing Operational Feasibility For Evtol Integration In São Paulo’S Helipad And Heliport Infrastructure, Peter E. O'Reilly, Ramy A. Rahimi, Jorge Luiz Rosa Marques, Marco Aurélio Feitosa De A. L. Babadopulos1

Publications

The objective of this study is to assess the operational viability of introducing Electric Vertical Take-Of and Landing (eVTOL) vehicles in São Paulo and its metropolitan area, utilizing existing helipads and helicopter infrastructure. eVTOL aircraft, capable of vertical take-of and landing like helicopters, difer from traditional helicopters in their propulsion systems, with eVTOLs typically featuring multiple smaller electric motor-driven propulsion units instead of internal combustion engines and mechanical transmissions (Schuchardt et al. 2023). The study specifcally targets eVTOLs with the capacity to transport a minimum of four passengers and one pilot for distances of at least 50 km. Appendix provides …

Computational Fluid Dynamics Visualization For Unmanned Aerial Systems In Bridge Inspections, Kristoffer B. Borgen, John Mott

Journal of Aviation Technology and Engineering

Bridge inspections are an expensive and time-consuming process, varying significantly with a bridge’s style, height, width, and length. Inspections create interruptions that interfere with bridge use, as the examination requires partial or total closure, causing traffic delays. Unmanned aerial system (UAS) use has increased significantly over the past decade, including assistance and coordination during bridge inspections. However, the impact on a UAS from high winds and turbulent airflows induced by a bridge’s structure can decrease flight safety during inspections. Visualization of these hazards is difficult for UAS operators; therefore, a process to estimate the velocity and locations of these hazardous …

Energy Safety Management: A Training Model To Improve Flight Safety, Juan R. Merkt, Matthijs H. J. Amelink, David G. Sizoo

Journal of Aviation Technology and Engineering

Failing to properly manage an airplane’s energy state can be unforgiving. Mismanagement of mechanical energy (altitude and/or airspeed) is a contributing factor to three common types of fatal accidents in aviation: loss of control in flight, approach and landing accidents, and controlled flight into terrain. Recognizing the importance of energy management, the Federal Aviation Administration has incorporated new elements into the Airman Certification Standards, emphasizing knowledge of energy management concepts and the consequences of mishandling an airplane’s energy state. Unfortunately, no adequate guidance has been available in terms of defining key energy management concepts or suggesting how these should be …

A Comprehensive Review Of Fischer-Tropsch Synthesis Processes To Produce Sustainable Diesel And Aviation Fuel, Joseph C. Steinagel

Honors College Theses

The greatest threat known to humankind today is global warming. It affects every nation on the planet and the natural order of all living things. Consequently, this ongoing crisis necessitates action to scientifically revolutionize important areas of society, including researching modern adaptations of the transportation industry. In that regard, it has been determined that an effective short-term answer to eliminating carbon emissions is to produce sustainable fuels that run cooperatively with the well-established machines of today. Sustainable aviation fuel (SAF) is one such topic of interest, and the Fischer-Tropsch synthesis process is an effective way of producing SAF. To that …

Representation Learning For Generative Models With Applications To Healthcare, Astronautics, And Aviation, Van Minh Nguyen

Theses and Dissertations

This dissertation explores applications of representation learning and generative models to challenges in healthcare, astronautics, and aviation.

The first part investigates the use of Generative Adversarial Networks (GANs) to synthesize realistic electronic health record (EHR) data. An initial attempt at training a GAN on the MIMIC-IV dataset encountered stability and convergence issues, motivating a deeper study of 1-Lipschitz regularization techniques for Auxiliary Classifier GANs (AC-GANs). An extensive ablation study on the CIFAR-10 dataset found that Spectral Normalization is key for AC-GAN stability and performance, while Weight Clipping fails to converge without Spectral Normalization. Analysis of the training dynamics provided further …

Incorporating Safety Excellence Into Urban Air Mobility (Uam): Insights From Commercial Aviation, Rotorcraft, And Unmanned Aerial Systems (Uas), Seyoung "Evie" Jang

Senior Honors Theses

This paper focused on safety considerations in Urban Air Mobility (UAM) through a cross-industry examination of commercial aviation, rotorcraft, and unmanned aerial systems (UAS). Although UAM promises transformative benefits, there are safety concerns remaining. Based on the Federal Aviation Administration (FAA)’s Concept of Operations (ConOps), the literature review explained the fundamental concepts of UAM. In commercial aviation, regulatory framework, pilot training and certification, vehicle design and maintenance, and emergency response planning are emphasized. For rotorcraft, safety requirements for vertical flight, collision avoidance systems, heliport standards, and weather adaptability are crucial. Leveraging UAS advancements, the study suggested autonomous systems, sense-and-avoid technology, …

Assessing The Need For A Mental Health Task Force For Aviation Science Students At Bridgewater State University, Cooper Castellone

Honors Program Theses and Projects

In the current landscape of aviation, the issue of mental health is of great concern, particularly among flight training students who have shown to grapple with depression in silence. A report issued by the Pilot Mental Health Aviation Rulemaking Committee in April 2024 underscored seven significant barriers impeding pilots from seeking necessary support for mental health concerns. Consequently, we completed a study aimed at understanding the prevailing mental health challenges among flight training students and identify strategies for institutions such as Bridgewater State University (BSU) to offer meaningful assistance. Our study consisted of a survey distributed to 14 institutions in …

Fleet Renewal Proposal, Fatema Al Ajmi

Honors Theses

The topic for our thesis will be demonstrating a fleet proposal request to our client, Western Michigan University. We will be introducing our company profile that will include aviation-related services and solutions. Our company will take several actions to help our client choose a well-suited aircraft that will help future pilots train with all the necessities needed to excel at WMU. We will provide initial steps to take action such as assisting with fleet management, safety enhancements, streamlined operations, financial marketing, and more. Later, our company will demonstrate a letter of intent to the dean of the aviation college, Dr. …

Fleet Renewal Proposal, Siba Al Ghailani

Honors Theses

Our organization, Wings Consulting, is proud to propose an extensive proposal that aims to improve the training fleet and advance aviation education in response to the changing demands of Western Michigan University's Aviation College. Our firm is dedicated to providing WMU with an aircraft fleet that is adequate to the institution and will enable future pilots to achieve prosperity while also possessing a deep grasp of the aviation industry and a dedication to perfection.

The purpose of this proposal is to introduce our company's profile, clarify our recommended course of action, and lay out a methodical plan for helping WMU …

Examining The Effect Of Contractor Logistics Support On The Reliability Of Military Aircraft, Rodrigo S. Campos De Moura

Theses and Dissertations

This study utilizes survival analysis for examining the effect of Contractor Logistics Support (CLS) on the reliability of military aircraft before and after implementing CLS. The provider of CLS in this study is the original equipment manufacturer that designed and produced the target aircraft of this study, the Embraer A-29 Super Tucano.

Green Skies Over Akron: “Revolutionizing Cak With A $20m Sustainability Blueprint", Oluwasemilore A. Akintelure, Kyle Rediger, Katie Horn

National Training Aircraft Symposium (NTAS)

Our groundbreaking research at Akron-Canton Airport (CAK) proposes a transformative $20 million electrical master plan, designed to revolutionize the airport into a sustainable aviation hub and an Advanced Air Mobility (AAM) leader - a unique stance compared to similar airports in its economic corridor. This initiative, poised to impact millions of travelers, integrates cutting-edge solar panel installations and infrastructure for electric Vertical Take-Off and Landing (eVTOL) vehicles. Our comprehensive analysis, encompassing energy consumption, economic impacts, and risk assessments, underpins this ambitious project. The implementation of green energy solutions is projected to substantially reduce CAK's carbon footprint, leading to a healthier …

Going Airborne: Kent State's Pioneering Leap Into Integrated Advanced Air Mobility, Jason T. Lorenzon

National Training Aircraft Symposium (NTAS)

This proposal centers on the development of a Concept of Operations in Advanced Air Mobility (AAM). Kent State University's College of Aeronautics and Engineering is poised to pioneer the integration of drones and electric Vertical Takeoff and Landing (eVTOL) systems, bridging the gap between its campus and airport by transporting students and faculty the 3NM distance from campus to the airport and back by a UAV. Beyond a standard research initiative, this proposal signifies a groundbreaking effort to reshape the landscape of educational aeronautics and Advanced Air Mobility and Urban Air Mobility. Our overarching goal is to transcend conventional boundaries …

Integrating Unmanned Aerial Systems For Enhanced Wildlife Hazard Assessment In Airport Environments, Savanna Box, Anna Golendukhina, Raymond Ayres, Nicholas Buckalew

National Training Aircraft Symposium (NTAS)

Our team has explored the use of Unmanned Aerial Systems (UAS) technologies to develop a concept of operations for data collection during a Wildlife Hazard Assessment. Data have been collected in a farmland area located two nautical miles south of Daytona Beach International Airport (Class C Airspace). The research team has applied and assessed the effectiveness of several Safety Risk Management protocols designed to ensure safe UAS operations during a WHA. The UAS crew has applied drone technologies to visually detect and record wildlife observations, activities, and natural habitats that could attract wildlife to the airport environment, as recommended by …

Fair Fault-Tolerant Approach For Access Point Failures In Networked Control System Greenhouses, Mohammed Ali Yaslam Ba Humaish

Theses and Dissertations

Greenhouse Networked Control Systems (NCS) are popular applications in modern agriculture due to their ability to monitor and control various environmental factors that can affect crop growth and quality. However, designing and operating a greenhouse in the context of NCS could be challenging due to the need for highly available and cost-efficient systems. This thesis presents a design methodology for greenhouse NCS that addresses these challenges, offering a framework to optimize crop productivity, minimize costs, and improve system availability and reliability. It contributes several innovations to the field of greenhouse NCS design. For example, it recommends using the 2.4GHz frequency …

The Role Of Organizational Theory For The Formulation Of A Sustainable Model Applicable To Air Traffic Management And Control Operations, Eva Maleviti

Publications

This paper provides a comprehensive introduction to Air Traffic Management (ATM), which encompasses Air Traffic Control (ATC) procedures, Reduced Separation Vertical Minima (RVSM) and Performance-Based Navigation (PBN) schemes. It also discusses the role of these and other elements in promoting environmental sustainability and the key factors essential for creating effective aviation operations. The main objective of this paper is to identify and select the most relevant components for establishing a theoretical framework for sustainable ATM and ATC practices. Notably, the organizational theory is used in this paper, aiming to create a firm theoretical model that can support sustainability in the …

Delphi Panel For Establishing Land Use Compatibility Areas And Standards For Vertiports, David C. Ison

International Journal of Aviation, Aeronautics, and Aerospace

This study aimed to determine land use compatibility guidelines for vertiports, which are locations where vertical take-off and landing (VTOL) aircraft operate. The study employed a three-round e-Delphi panel to establish vertiport land use compatibility zones and standards. The results reached a consensus of at least 70%, providing comprehensive land use compatibility recommendations for vertiports. The study provides a foundation for vertiport land use compatibility planning, ensuring the integration of vertiports in existing communities. The findings can also increase public and local officials' awareness of the needs and requirements of Advanced Air Mobility (AAM) infrastructure development. The uniformity between existing …

A New Trajectory In Uav Safety: Leveraging Reinforcement Learning For Distance Maintenance Under Wind Variations, Xiaolin Xu, Jeffrey Sun

Journal of Aviation/Aerospace Education & Research

In the field of aviation, safety is a critical cornerstone, and the operation of Unmanned Aerial Vehicle (UAV) systems is deeply connected with this principle. A thorough analysis and rigorous simulation and testing of aircraft systems are essential to avoid severe safety hazards. This paper delves into the safety issue in UAV operations, specifically regarding maintaining minimum safety distances under fluctuating wind conditions. The study introduces a novel solution based on a Deep Deterministic Policy Gradient (DDPG) model, a reinforcement learning method. The DDPG model was trained using a simulated environment created through the Gazebo simulator, with values for wind …

High-Flying Results: A Case Study In A Pilot Development Mentor Program, Catherine G. Cordova, Barron Parsons-Daisley, Emma Fox Captain

Journal of Aviation/Aerospace Education & Research

Consistently considered one of the world’s most stressful occupations, the job of an airline pilot requires increasingly specific skills and responsibilities, especially amidst the global pandemic (Cullen, et al., 2020; Sew, et al., 2022). Given the severity and implications of their decisions and actions, airline pilots must continuously undergo training and practices to ensure proper procedure. In 2020, the Federal Aviation Administration (FAA) augmented qualifications by enacting Pilot Professional Development requirements (85 FR 10923), including mentoring for newly hired pilots in command (PIC’s). In complement with 85 FR 10923, CFR 121-N ensures “techniques for reinforcing the highest standards of technical …

The Intellectual Structure And The Future Of Counter-Uncrewed Aerial Systems (Uas) Research: A Bibliometric And A Scoping Review, Chuyang Yang, Chenyu Huang, Yanhui Zhao

International Journal of Aviation, Aeronautics, and Aerospace

With advancements in remote sensing technology and affordable design, uncrewed aerial systems (UAS), commonly known as drones, have become prevalent in civil and military applications, such as agriculture, public safety, and aerial imaging. However, the rise in unlawful UAS activities, such as non-compliance with legal standards and potential terrorist attacks, has raised significant public concern, necessitating effective detection and mitigation solutions. Despite the growing importance of this issue, comprehensive and detailed examinations of existing counter-UAS solutions are lacking. To address this gap, this study conducts a bibliometric analysis and scoping review of the current literature to identify key topics and …

Assessing Past Airworthiness Directives And How Safety Management Systems May Benefit Aviation Product Design And Manufacturing, Damon Lercel, Manoj Patankar, Richard Steckel

Journal of Aviation/Aerospace Education & Research

The European Union Aviation Safety Agency (EASA) continues to promulgate Safety Management Systems (SMS) across aviation organizations when it recently issued SMS requirements for EASA certificated Part 145 maintenance, repair and overhaul (MRO) organizations and Part 21 Design & Manufacturing (D&M) organizations. Currently, the Federal Aviation Administration (FAA) has no such rule in place for these U.S.-based organizations, which may challenge those doing business in countries where EASA policies apply. Given that a majority of the United States’ D&M and MRO population is made up of smaller organizations, it is likely a U.S. SMS regulation will require justification of the …

History’S Slowest Digital Transformation: The Long Road To Flight Data Monitoring, Michael Ott

Journal of Aviation/Aerospace Education & Research

Flight data monitoring (FDM) began in the flight test community in 1939 and entered the airline industry in 1974. In the 48 years since, however, very few operators have chosen to adopt this practice, which has shown clear safety benefits where it has found acceptance. While technical issues have created some obstacles, cultural issues have proven the greatest hindrance to wider FDM adoption. These cultural issues originated in the traits associated with pilots’ personalities, especially distrust of the regulators and operators who would administer flight data analysis programs (FDAP) that used FDM information. U.S. regulators have relied on voluntary adoption, …

Human-Ai Teams In Aviation: Considerations From Human Factors And Team Science, Jenna Korentsides, Joseph R. Keebler, Crystal M. Fausett, Sabina M. Patel, Elizabeth H. Lazzara

Journal of Aviation/Aerospace Education & Research

Artificial Intelligence (AI) has transformed the way human-computer interaction (HCI) teams can collaborate and coordinate in various domains, including aviation and crew resource management (CRM). AI's transformative capabilities enhance teamwork, efficiency, and safety, particularly in risk management. AI's ability to process vast amounts of data and provide real-time insights enables informed decision-making and automation of repetitive tasks in aviation. By combining the strengths of AI and humans, outlined in our modified version of the ‘HABA-MABA’ framework, a dynamic teamwork relationship emerges, provided roles are successfully allocated. AI systems are able to act as intelligent assistants, offering timely recommendations, fostering effective …

Machine Learning - Hail Awareness Spatial Analysis Toolkit (Hasat), Haoruo Fu, Joseph P. Hupy, Chien-Tsung Lu, Zhenglei Ji

Journal of Aviation/Aerospace Education & Research

The National Airspace System (NAS) is a sophisticated network of air traffic control, navigation, and communication systems that play a critical role in ensuring the safe and efficient flow of air traffic across the United States. However, the occurrence of severe weather conditions, particularly hailstorms, poses a significant threat to flight safety within the NAS. To mitigate the risks associated with hail, aviation organizations have implemented a range of safety measures. This study utilized Esri’s ArcGIS as a mapping software to conduct a geospatial analysis of the impact of severe weather, particularly hail, on the NAS. The Hail Awareness Spatial …

Railroad Condition Monitoring Using Distributed Acoustic Sensing And Deep Learning Techniques, Md Arifur Rahman

College of Graduate Studies: Theses & Dissertations

Proper condition monitoring has been a major issue among railroad administrations since it might cause catastrophic dilemmas that lead to fatalities or damage to the infrastructure. Although various aspects of train safety have been conducted by scholars, in-motion monitoring detection of defect occurrence, cause, and severity is still a big concern. Hence extensive studies are still required to enhance the accuracy of inspection methods for railroad condition monitoring (CM). Distributed acoustic sensing (DAS) has been recognized as a promising method because of its sensing capabilities over long distances and for massive structures. As DAS produces large datasets, algorithms for precise …

Leveraging Artificial Intelligence To Improve Data Configuration & Accuracy In Modern Flight Management Systems, Sreeram Chittayil

International Journal of Aviation, Aeronautics, and Aerospace

AI (Artificial intelligence) can automate the process of generating optimized flight routes using real-time data, such as AIRAC (Aeronautical Information Regulation and Control), significantly reducing the time needed for flight management tasks. While AIRAC data typically takes up to 28 days to refresh, AI could condense this process to just minutes, enhancing operational efficiency and ensuring pilots have timely and accurate flight information. The research includes practical experiments, prototype code, and visual case studies to demonstrate AI's role in optimizing FMS functions while addressing issues related to data input errors and human intervention. Key findings from trials show the algorithm's …

Performance Prism: A Comprehensive Framework For Performance Measurement In Aircraft Maintenance, Mohammed Timjerdine, Saoudi Taibi, Younes Moubachir

International Journal of Aviation, Aeronautics, and Aerospace

Aircraft maintenance is governed by rigorous safety requirements and high operational complexity, demanding robust performance measurement frameworks to ensure optimal maintenance practices. This paper investigates existing performance measurement methodologies within the sector, highlighting their limitations and the need for a more structured evaluation system. Through this critical analysis of current literature, the paper proposes the Performance Prism (PP) framework as a novel and potentially robust solution for assessing and enhancing aircraft maintenance performance. Because the PP framework integrates multiple dimensions of evaluation, it provides a holistic assessment of aircraft maintenance performance, thereby enhancing reliability, efficiency, and overall effectiveness. Using examples …

Short-Term Forecasting Airport Passenger Flow During Periods Of Volatility: Comparative Investigation Of Time Series Vs. Neural Network Models, David H. Hopfe, Kiljae Lee, Chunyan Yu

Publications

Recurrent Neural Networks (RNNs), known for handling complex data tasks like language translation and speech recognition, are seldom employed in airport management practice for daily and weekly passenger flow forecasting tasks. In this paper, we evaluate the effectiveness and adaptability of various neural network models (RNN, LSTM, GRU, Deep LSTM, Bidirectional LSTM, multivariate RNN, and multivariate LSTM) against standard time series models (ARIMA, SARIMA, and SARIMAX) for a short-term forecasting airport security checkpoint passenger flows at five major U.S. airports during the pandemic.

At Atlanta's Hartsfield-Jackson Airport (ATL), the RNN notably surpasses SARIMA's forecasting accuracy by 34% (DM= 3.44, p …