Management and Operations Commons^™

Characterizing Air Traffic Density Using Nationwide Ads-B Data, Taeyun Yoo, Arjun Nambiar, Sang-A Lee

Discovery Day - Daytona Beach

This study addresses the increasing need to understand aircraft activity in low-altitude airspace, where emerging operations such as Unmanned Aircraft Systems (UAS) and Advanced Air Mobility (AAM) are expected to heighten traffic complexity and safety risks. This research develops a scalable framework for constructing a nationwide, high-resolution, altitude-stratified airspace density atlas using Automatic Dependent Surveillance–Broadcast (ADS-B) data. The methodology incorporates large-scale data acquisition, terrain-referenced altitude normalization, and spatial aggregation using a hexagonal grid system, followed by statistical modeling to estimate traffic density across spatial and temporal dimensions. Preliminary results indicate the capability to generate detailed geospatial representations of aircraft activity, …

Small Unmanned Aerial Systems-Assisted Airport Obstruction And Perimeter Inspections, Christopher Candler, Christopher M. Saylor, Marcus Thompson, Tejash Zala

Discovery Day - Daytona Beach

Airports are required to maintain obstruction-free airspace surfaces under 14 CFR Part 77; however, vegetation and perimeter obstruction management is often conducted through periodic ground inspections and contractor-led surveys that provide only snapshot conditions. These approaches may delay detection of encroachments into approach, transitional, horizontal, or primary surfaces, increasing the risk of operational impacts and reactive mitigation. This study proposes an FAA-aligned framework integrating small unmanned aircraft systems (sUAS) into obstruction monitoring workflows through recurring, repeatable perimeter inspections. High-resolution optical and LiDAR sensors, combined with RTK/PPK-enabled GNSS correction, generate centimeter-level geospatial datasets that are processed into canopy height models. These …

Advancing Runway Incursion Severity Prediction Through Tabular-To-Image Deep Learning, Bill Deng Pan, Yupeng Yang

Discovery Day - Daytona Beach

Runway incursions remain one of the most persistent safety challenges in modern aviation operations, often resulting from complex interactions among human, environmental, and operational factors. While existing Safety Management System (SMS) frameworks emphasize monitoring the frequency of incursions, they provide limited predictive capability regarding event severity. This ongoing study seeks to address that gap by applying a novel tabular-to-image deep-learning approach to improve the accuracy and interpretability of runway-incursion severity prediction models. Data for this study will be drawn from the Federal Aviation Administration (FAA) Runway Safety Statistics and National Transportation Safety Board (NTSB) accident databases. The methodology will involve …

Assessing Safety Culture Among Airport Operators Through Stakeholder Perceptions, Bill Deng Pan

Discovery Day - Daytona Beach

The effective implementation of Safety Management Systems (SMS) at airports depends not only on compliance with regulatory requirements but also on the presence of a strong and measurable safety culture. While the Federal Aviation Administration (FAA)’s increasing emphasis on SMS has accelerated adoption across certificated airports, many airport operators, often coming from operational, engineering, or business backgrounds, lack practical methods to assess safety culture in a structured and actionable manner. Existing guidance highlights the importance of safety culture and safety climate. However, limited research exists on how airport stakeholders perceive and experience safety culture within the airport operating environment. This …

Applying The Hfacs Framework: A Case Study Of Air Florida Flight 90, Ashley Perez-Galvan, Cenk Altinkum, Ryan Hunt

Discovery Day - Daytona Beach

Applying the HFACS Framework: A Case Study of Air Florida Flight 90 Abstract   This study applies the Human Factors Analysis and Classification System (HFACS), a widely used safety framework for identifying human and organizational contributors to accidents to examine the crash of Air Florida Flight 90 crash on January 13, 1982. The accident occurred shortly after takeoff from Washington National Airport during severe winter weather, when the aircraft failed to gain sufficient lift and impacted a bridge before entering the Potomac River.   The goal this analysis is to understand how multiple layers of human and organizational factors contributed to this …

Starlink-Based Navigation System For Fixed-Wing Uav, Aidan Panter, Ayse Okatan, Spencer Richter, Carson Frankovic, Faheem Khan, Eldon Crossett, Oleg Sugatov, Dylan Hardt

Discovery Day - Daytona Beach

Conventional UAV navigation and control systems rely on short-range RF communication, imposing significant limitations on operational range, real-time control capabilities, and autonomous mission execution beyond visual line of sight (BVLOS). While existing research addresses regulatory frameworks, communication relay strategies, and positioning optimization for extended-range operations, a comprehensive and cost-effective solution integrating satellite-based Internet connectivity with web-accessible control remains absent from the literature. This project develops a Starlink-based navigation and control system for fixed-wing UAVs that overcomes traditional range constraints through low-earth orbit satellite and cell network connectivity. The system integrates a Starlink terminal with an onboard flight computer running custom …

Human Factors And Passenger Survival In Aircraft Emergency Evacuations, Anjelysa Oleszewski, Adam Dvorak, Anthony Bulko, Christopher Lee, Nicholas Murphy

Discovery Day - Daytona Beach

In the event of an emergency where evacuation of the aircraft is necessary, passengers have 90 seconds to locate their nearest exit and egress as safely and quickly as possible. However, news outlets have reported multiple occurrences of passengers evacuating and taking their belongings with them during this decade. The root of this hazard occurs in multiple areas of flight, particularly during safety briefings and during emergency evacuations. The purpose of this project is to focus on improving passenger knowledge of safety features such as exit door locations through digital mediums and strengthen deliverance of life-saving information. The project shares …

Case Study - China Airlines Flight 006, Jaxon Daniels, Ryan Lutwin, Jacob Patterson, Elizabeth Bosan, Ronyn Orrell

Discovery Day - Daytona Beach

On February 19, 1985, China Airlines Flight 006, a regularly scheduled flight from Taipei, Taiwan, to Los Angeles, California, experienced a serious in-flight upset while cruising at high altitude. The aircraft subsequently entered a steep, uncontrolled spiral dive, during which it experienced extreme G-forces and sustained structural damage. After regaining control, the crew diverted the aircraft to San Francisco International Airport, where it landed safely (National Transportation Safety Board, 1986). The Human Factors Analysis and Classification System (HFACS) framework helps to identify and analyse the organizational elements and conditions that lead to aviation accidents (Small, 2020). Aviation accidents are not …

An Innovative Approach To Real-Time Noise Monitoring And Detection In Airport Ramp Operations, Grace Hamilton, Nicole E. Egan, Anderson Peralta, Deyaneira Rodriguez, Maria G. Valentinez

Discovery Day - Daytona Beach

Airport ramp personnel are routinely exposed to hazardous noise levels exceeding occupational safety thresholds, increasing the risk of permanent hearing loss, degraded communication, and operational incidents. Traditional ramp noise management relies primarily on periodic monitoring and personnel protective equipment (PPE), which limits real-time hazard recognition and a proactive risk mitigation strategy. The purpose of this study is to evaluate the safety and financial effectiveness of implementing a real-time noise monitoring and detection system within airport ramp operations in alignment with Safety Management System (SMS) principles. A literature review, Preliminary Hazard Analysis (PHA), and financial cost-benefit analysis were conducted to compare …

Mob-Air: Sensing Package Development For Maritime Search And Rescue Uav, Rachel Jacobsen, Liam Abraham, Ethan Thomas, Madeline Thomson, Nikolaos Triantafilloy

Discovery Day - Daytona Beach

Man-overboard (MOB) search and rescue (SAR) operations present a persistent maritime challenge, where rapid and reliable detection of a person in the water is critical to mission success. MOB-Air is developing a modular sensing package for an unmanned aerial system (UAS) to enhance SAR missions through autonomous human detection in maritime environments. This capability directly supports Navy maritime operations by improving overboard recovery, reducing search timelines, and enabling persistent aerial monitoring in contested or resource-constrained environments. The system evaluates thermal and visual imaging sensors using a custom horizontal-rail testing frame with a mobile payload. A ROS 2–based software architecture supports …

Ai-Driven Scheduling Algorithms For Private Aviation, Tayan Benson, Jessica Buskey, Gabriel Camacho, Caitlyn A. Gabrinowitz

Discovery Day - Daytona Beach

Private aviation scheduling is complex and dynamic, requiring frequent aircraft repositioning based on demand and operational constraints, unlike fixed commercial airline schedules. As fleets grow beyond 300 aircraft, traditional deterministic methods become too slow, leading to the use of approaches such as genetic algorithms, but neural network-based methods have not seen in-depth exploration. This project models aircraft scheduling as a network, where airports and flights form a graph. It explores advanced AI methods, including graph neural networks and spatio-temporal graph neural networks (STGNNs), to capture both network structure and time constraints. The goal is to generate efficient daily schedules from …

Predicting Passenger Demand On National Flights Departing From Hartsfield-Jackson Atlanta International Airport (Atl) In 2024, Brooklyn Gossett, Ana Yu Wen

Discovery Day - Daytona Beach

The aviation industry relies heavily on accurate demand forecasting to guide critical decisions regarding route planning, capacity management, and pricing strategy. Misjudging passenger demand can result in significant revenue loss and operational inefficiency, making it essential for airlines and analysts to identify the key drivers of flight patronage. This study investigates the factors that most significantly predict the number of passengers on domestic flights departing from Hartsfield-Jackson Atlanta International Airport (ATL) during the 2024 calendar year. Using passenger and route data sourced from the Bureau of Transportation Statistics (BTS) and the U.S. Department of Transportation (DOT), a multiple regression analysis …

Design And Implementation Of A Synchronized Data Acquisition System For An Ihlp Cessna 182 Testbed, Celso Ferreira De Moura, Mariano Chavez Rangel

Discovery Day - Daytona Beach

This work presents the design and implementation of a fully integrated data acquisition system for a full scale Integrated High Lift Propulsion testbed based on a Cessna 182Q, with emphasis on hardware integration, sensor reliability, and time synchronization. A centralized architecture was developed in LabVIEW to acquire, process, and store data from both analog and digital sensors, including air data systems, inertial measurement units, control positions, and propulsion instrumentation. Analog sensors were carefully calibrated to ensure accurate conversion to engineering units, while digital sensors were incorporated into a unified framework to maintain consistency across all measurements. All ADC, GPS, INS, …

Professionalism And Performance Expectations In The Modern Aviation Industry, Anayah Smith, Spencer Baldock Spencer Baldock

Discovery Day - Daytona Beach

The aviation industry operates as a highly regulated, safety-critical environment in which professionalism and consistent performance are essential to maintaining operational safety and reliability. However, emerging shifts in workforce composition, communication styles, and technology integration have created misalignment between traditional professional standards and evolving employee expectations. Established aviation cultures emphasize structured procedures, formal feedback mechanisms, and communication hierarchy, while newer entrants, shaped by digital communication norms and contemporary academic environments, often expect continuous feedback, collaborative leadership, and adaptive performance evaluation. Prior research on crew resource management, human error frameworks, and generational work values highlights how inconsistencies in communication, feedback expectations, …

An Exploration Into Aviation Safety & Security In Nigeria, Hana Marz, Nicholas Degarmo, Kathrine Lopez, Michael Chrisman

Discovery Day - Daytona Beach

Aviation safety and security standards are fundamental for enabling the reliability and sustainability of aviation operations. Aviation safety and security are influenced by organizational and institutional standards, as well as the application of human factors principles. This paper aims to explore the regional variances of aviation safety and security culture within Nigeria. Nigeria has taken steps to align with international aviation standards, offering insight into how the region shapes its regulatory environment, organizational culture, and how cultural factors affect safety and security practices. However, Nigeria continues to face challenges such as inconsistent regulatory enforcement and limited safety reporting, which impact …

Design And Implementation Of Cyber Risk Management In The Indonesian Aviation Sector Based On Nist Csf And Iso/Iec 27002:2022, Annisa Aulia Budianti Qurota'aini, Ira Rosianal Hikmah, Yulial Hikmah

Jurnal Vokasi Indonesia

As technology usage increases, cyberspace in Indonesia has developed significantly, including in Vital Information Infrastructure (VII) sectors such as aviation. However, this advancement introduces potential cyber threats that can disrupt operations. This research aims to design a systematic cyber risk management framework for a navigation authority within the Indonesian aviation sector using the National Institute of Standards and Technology Cybersecurity Framework (NIST CSF) as the primary standard. This research also utilizes national aviation regulations, Center for Internet Security Controls (CIS Controls) v8.0, and ISO/IEC 27002:2022 as supporting frameworks. The research employs a qualitative descriptive approach, gathering data through field observations, …

Meeting The Moment With Ai-Employer Informed Education, Brent Terwilliger, John Faraca

Publications

As artificial intelligence transforms aviation, aerospace, and autonomy-related sectors, higher education must adapt to meet evolving workforce demands. This session shares emerging findings from a nationwide study led by Embry-Riddle Aeronautical University, focused on employer perceptions of AI adoption, responsible use, and workforce preparedness in domains including uncrewed systems, space systems, robotics, and advanced air mobility. Based on a structured survey and follow-up interviews, the presentation explores how organizations are using AI tools, from generative platforms to enterprise systems, and defining effective and inappropriate use in operational contexts. Participants will gain insight into critical concerns (e.g., data privacy, compliance, security, …

Uav-Based Sensor Integration For In-Situ Lake Water Quality Monitoring, Alec R. Campbell

Biological and Agricultural Engineering Undergraduate Honors Theses

Surface water monitoring is often constrained by limited spatial and temporal coverage due to the labor-intensive nature of traditional sampling methods, particularly in environments that are difficult to access or pose safety risks. Unmanned aerial vehicles (UAVs) offer a promising solution by enabling more frequent, spatially distributed, and cost-effective data collection. This study presented the design, development, and field evaluation of a UAV-based system for real-time, in-situ water quality monitoring. The system integrated multiple sensors, including oxidation-reduction potential (ORP), RGB spectrometry, pH, electrical conductivity (EC), dissolved oxygen (DO), and a multispectral spectrometer within a UAV platform.

Field testing was conducted …

Passenger Autonomy In Airport Systems: Integrating Accessibility, Spatial Design, And Technology To Improve Operational Efficiency, John Michael Schmitz

Honors Projects

Airports are among the most complex operational environments in modern transportation, requiring the coordination of passenger movement, security processes, and infrastructure under significant time constraints. Although there have been many advancements in aviation, most passengers continue to experience high levels of stress and confusion while trying to navigate airport terminals. This paper argues that operational efficiency in airport systems is achieved by increasing  passenger autonomy through the utilization of accessible design, spatial legibility, and new emerging technologies. This paper takes note of some foundational theories that drove urban design and cognitive psychology, including Lynch’s concept of imageability, Passini’s theory of …

Applications Of Suas Thermal Imaging And Lidar At Letort Spring Garden Preserve: An Independent Study, Kelsey Wardell

Harrisburg University Other Works

No abstract provided.