Multi-Vehicle Systems and Air Traffic Control Commons^™

Multimodal Interpretation Of Pilot–Controller Communications For Runway Safety Assurance And Enhanced Atc Situational Awareness., Chaebin Song, Juin Park

Discovery Day - Daytona Beach

Recent runway safety events have highlighted the importance of accurate and timely interpretation of pilot–controller communications, especially in complex airport environments where aircraft and ground vehicles interact on or near active movement areas. In light of the recent LaGuardia Airport collision, which has drawn attention to communication, coordination, and surface safety challenges, this project investigates how multimodal data can support air traffic controllers’ situational awareness and safety assurance. This study develops an in-progress framework that combines Automatic Speech Recognition (ASR) of pilot–controller radio communications with ADS-B trajectory data to improve interpretation of operational intent and cross-check communications against observed aircraft …

Improving Multi-Agent Swarm Collision Avoidance Using Reciprocal Velocity Obstacles, Nick Wilson

Discovery Day - Daytona Beach

As multi-agent systems grow increasingly complex, physical robotic swarms are essential to bridge the gap between limited software simulations and real-world application. The BID4R STARS swarm provides a physical platform for testing diverse algorithms, yet its success relies heavily on fundamental agent capabilities—most notably, obstacle avoidance. Preventing intra-swarm collisions is critical to avoid hardware damage and experimental disruption. To address this challenge, this project implements the Reciprocal Velocity Obstacles (RVO) algorithm onto the STARS swarm. While standard collision avoidance algorithms often overcorrect and induce oscillatory agent movement, RVO factors in the velocity and anticipated responses of all agents involved in …

Honeybee-Inspired Swarm Intelligence For Autonomous Adaptability Of Martian Infrastructure, Morgan Kendall

Discovery Day - Daytona Beach

Current research in autonomous space systems primarily relies on centralized control or swarm methods designed for fixed mission scenarios. These approaches lack the flexibility needed for long-duration Mars operations, where infrastructure must adapt to changing conditions, evolving mission goals, and limited human oversight. This creates a critical gap in developing autonomous systems capable of continuous self-organization. This gap is being addressed by developing a biologically inspired, adaptive Martian infrastructure using swarm intelligence. The scope includes key system domains such as power distribution, communication networks, and surface logistics. Agent-based modeling software will simulate infrastructure components as autonomous agents that evaluate local …

Applications Of A Swarm-Behavior Model On Existing Satellite Constellations, Naomi Lee

Discovery Day - Daytona Beach

The scope of this work explores biological swarm behavior and its application to low- and medium-sized Earth orbit satellite constellation systems. Existing constellation structures have predetermined orbits, meaning there is little adaptivity in the spacing and interactions between satellites. This allows for formation disruption by atmospheric perturbations in lower Earth orbit trajectories but can be countered with interactive controls that help with structure stability. This adaptive spacing and control can also be applied in MEO constellations in coverage and positioning optimization. In ‘mimicking’ this swarm behavior in starling murmurations, the separation, alignment, and cohesion flocking behavior of satellite groupings will …

Helio: Heliophysics Enhanced Learning For Intelligent Orbits, Kylie Nager, James Kirk

Discovery Day - Daytona Beach

HELIO: Heliophysics Enhanced Learning for Intelligent Orbits   Satellite constellations operating in near-Earth space are increasingly vulnerable to space weather disturbances, such as solar flares, coronal mass ejections (CMEs), and high-speed solar wind streams, which degrade communications, destabilize attitude control, and accelerate orbital decay. These disturbances directly threaten mission continuity, constellation availability, and space asset survivability. Current protective approaches rely primarily on ground-based alerts and lack integration with broader space domain awareness, which results in programmed reactive protocols that are often initiated too late to prevent performance degradation and asset loss. The HELIO project addresses this gap by turning space-weather forecasts …

Fault-Aware Flight Path Assessment For Evtols Using An Integrated Air Traffic Management Environment, John Clardy, Edison Alberto Martinez Samaniego

Discovery Day - Daytona Beach

This study introduces a simulation framework to evaluate Fault-Aware Flight Paths for electric vertical takeoff and landing (eVTOL) aircraft within an integrated air traffic management environment. By combining an air traffic management system with intelligent trajectory generation frameworks, the approach assesses the development of safe, adaptive, and fault-aware flight paths that account for traffic interactions, airspace features, and specific operational constraints. Real-world historical airspace traffic data was used to accurately simulate complex and congested operational conditions. The main goal is to evaluate the operational impact of integrating eVTOL operations into the National Airspace System, with a focus on conflict detection, …

Cars Imass - Comparing Llm Vs Human Operator Effectiveness In Multi-Agent Swarm Coordination, Gatlin Nelson

Discovery Day - Daytona Beach

Title: Dual-Perspective Risk Analysis for Human-LLM Decision Comparison in UAV Swarm Navigation   Unmanned aerial vehicle (UAV) swarms operating in low-altitude wireless network environments encounter localized disruptions that degrade positioning and navigation metrics. These disruptions are modeled as geographic failure zones with defined boundaries. A UAV discovers a zone by entering it and observing degraded performance on its onboard systems. This work assumes that affected UAVs can autonomously retreat to safety using onboard sensors and focuses on the subsequent rerouting decision. Once recovered, the system generates candidate repositioning points surrounding the vehicle, each scored using Conditional Value-at-Risk (CVaR). A human operator …

Phaëthon System, Brady Roudabush, Lauren Gallo, Emelia Thompson, Jacob Woods

Discovery Day - Daytona Beach

Phaëthon System is the project name for the Search and Rescue Drone Initiative. This initiative will improve the current search and rescue drone industry by introducing new techniques to get through dense forest canopies and other places where an overhead view is not useful. The Phaëthon System uses a swarm of drones that can penetrate under the tree canopy to map and search with the utmost efficiency and safety for rescuers. A command drone is launched to survey the overall search area, and set up a communications and data link. The next component is then released, which is a swarm …

Accelerating Search And Rescue Response: A Simulation Study On The Dynamic Efficiency Of Flocking-Enabled Drone Swarms, Sophia Beckwith, Carys Del Prete

Discovery Day - Daytona Beach

This project explores how imitations observed in animal group behavior, specifically flocking in birds, can be applied to the functionality of autonomous drone systems to aid in search and rescue efforts. The goal is to demonstrate how incorporating code based on the Boids, Vicsck and predictive control linear algebraic mathematical models for drone flight controls and the collective behaviors of flocks will increase the efficiency of drone maneuvers, allowing them to reorganize and fill gaps when one is removed. A MATLAB-based simulation was developed to model the behaviors using research conducted on the symmetric and synchronized behaviors observed from flocks …

Interplay Between Physical Design Choices And Emergent Cyber System Consensus: A Case Study With An Underwater Swarm, Ava Neubert

Discovery Day - Daytona Beach

Understanding how physical constraints influence collective behavior is critical for designing cyber-physical multi-agent systems in communication-limited environments. This project investigates how agent mobility and communication constraints affect opinion dynamics in a three-dimensional underwater swarm. An agent-based model was developed in AnyLogic, where agents follow realistic motion dynamics and exchange information at discrete communication intervals to reflect underwater limitations. Agent opinions are modeled using a BOIDS-inspired consensus mechanism in RGB space, allowing visualization of convergence behavior. A sensitivity analysis was conducted to evaluate the effects of communication range, agent speed, turn rate, and swarm size. Results show that communication range has …

Sae Aero West Heavy Lift Competition Team - Eaglenautics, Anthony Pirone, Evan Stuart, Jessica Millard, Nathaniel Scott

Discovery Day - Prescott

ERAU’s SAE Aero Design West Competition team encourages students of all majors who have an interest in the design of heavy-lift cargo and passenger aircraft to design, build, and fly a large RC aircraft to meet a new set of regulations each competition year. Since the team, Eaglenautics, was founded in 2017 it has successfully been to competition once in April 2019 in California. The team’s aircraft flew 4 out of 5 flight rounds, passed all technical inspections, and is now on display in ERAU’s Aero-Fab in the AXFAB. The 2020 competition requirements are unique in that the cargo’s weight-to-volume …

End To End Satellite Servicing And Space Debris Management, Aman Chandra, Himangshu Kalita, Roberto Furfaro, Jekan Thanga

Space Traffic Management Conference

There is growing demand for satellite swarms and constellations for global positioning, remote sensing and relay communication in higher LEO orbits. This will result in many obsolete, damaged and abandoned satellites that will remain on-orbit beyond 25 years. These abandoned satellites and space debris maybe economically valuable orbital real-estate and resources that can be reused, repaired or upgraded for future use. Space traffic management is critical to repair damaged satellites, divert satellites into warehouse orbits and effectively deorbit satellites and space debris that are beyond repair and salvage. Current methods for on-orbit capture, servicing and repair require a large service …

Framework For Evaluating Traffic Management Services In Higher Airspace, Jennifer Gentry, Debra Moch-Mooney, Anuja Mahashabde

Space Traffic Management Conference

Flying faster, farther, longer and higher has always captured the public’s imagination. Yet there is a vast realm of airspace that remains unexplored, save for a handful of scientific and national security missions. It is a realm rife with extremes, where flights can reach multi-Mach speeds or stay aloft for months as they slowly circumnavigate the globe. It is a realm that lies high above the clouds, at the edge of space.

Recent breakthroughs in technology, fueled by a globalized economy and society’s appetite for information, have set the stage for routine commercial operations in this new realm. Companies, old …

Utm, Atm, Stm… Slices Of The Sky?, Ruth E. Stilwell

Space Traffic Management Conference

UTM, ATM, STM… slices of the sky?

This paper will examine the functional differences between Unmanned Aircraft Traffic Management Systems, Air Traffic Management Systems, and Space Traffic Management. Understanding both the similarities between the systems and the different functional requirements of each concept is critical in the discussion and development of STM. While there are many commonalities in each area, it is important to understand how the different environments affect the ability to develop policies, procedure and technologies to manage the vehicles operating in the distinct environment. Both technical and legal frameworks will be discussed.

Building a conceptual framework for …

Utilizing Guided Simulation In Conjunction With Digital Learning Tools In Air Traffic Control Training To Enhance Learning At The Collegiate Level, Allison Little, Benjamin Cook, Holly Hughes, Kyle Wilkerson

Discovery Day - Prescott

Students in an air traffic control program are required to learn and apply advance knowledge and skills in a limited time frame. All students learn at different rates as well as through different learning styles. Swivl is a video capture tool designed to enhance student learning by allowing students to refer back to their individual classroom lab training session videos via an online portal. Swivl is being utilized in two ATC lab courses. During this research, two technological shortcomings were discovered: (1) Swivl lacks the ability to capture audio from the COA’s existing communication software and (2) Swivl cannot focus …

Integrating Unmanned Aircraft Operations Into The National Airspace System, Benjamin Cook, Holly Hughes, Kyle Wilkerson, Allison Little

Discovery Day - Prescott

Unmanned Aircraft Systems (UAS) are expected to dominate the National Airspace System (NAS) in the near future. One particular barrier preventing the integration of unmanned aircraft into the NAS is the lack of standardized procedures for distinguishing and communicating with remote UAS operators. In preparation for adopting unmanned flight operations into a complex control system, it is important to identify solutions to effectively control UAS in the NAS. To achieve simultaneous safe manned and unmanned aircraft operations in the NAS, the Joint UAS and ATC Team (JUAT) at Embry-Riddle Aeronautical University (ERAU) are developing a system that could be used …

Spaceways: Airspace In Outer Space, Scott Haeffelin

Space Traffic Management Conference

Forecasted future demand in space travel is driving the need for the development of space traffic management. Currently, orbital space traffic is mostly unregulated with internationally agreed upon best practices and self-interest driving space operators to avoid collisions with other spacecraft. This paper explores the future of space travel by presenting a concept of creating “airspace in space” or spaceways to manage the ever growing volumes of space traffic. Spaceways are analogous to airspace for aircraft with the goal of increasing levels of safety and reducing probabilities of collision. These goals can be achieved by creating traffic rules, defining valuable …

Air Traffic Impact Analysis Design For A Suborbital Point-To-Point Passenger Transport Concept, Tanja Luchkova, Sven Kaltenhaeuser, Frank Morlang

Space Traffic Management Conference

Space flight activities are growing on an international level, thereby creating an evident need for a safe and efficient integration of space vehicle operations into the air traffic system. For concepts like very high-speed intercontinental passenger transport via suborbital point-2-point flights, as it is proposed by the DLR SpaceLiner, this integration issue is becoming especially relevant. As part of a case study approach to analyse the effects of space vehicle operations on air traffic and to evaluate mitigation strategies and optimized ATM integration, a traffic impact analysis has been prepared and conducted for the SpaceLiner return trajectory towards a European …

Sub-Orbital Spaceflight – An Addition To Our Multi-Modal Transportation System, Scott Haeffelin

Space Traffic Management Conference

The number of commercial spaceflights will be increasing by orders of magnitude over the next several decades. The current volume of space traffic can be managed on a case-by-case basis and there is little impact to the National Airspace System (NAS). This will change as more spaceports become operational, commercial sub-orbital flight companies begin serving their customers and as the cost of these flights begin to decrease. Current regulatory paths seek to allow the flexibility in the regulations for this industry to flourish while also maintaining a high standard of safety. There are, however, many nearsighted and old fashioned assumptions …

Space Data Integrator (Sdi) And Space Program Integrated Data And Estimated Risk (Spider): Proof-Of-Concept Software Solution For Integrating Launch And Reentry Vehicles Into The National Airspace System (Nas), Devin D. Dickens

Space Traffic Management Conference

The Space Data Integrator (SDI) Project is the initial step to satisfy the Federal Aviation Administration (FAA) strategic initiative to integrate commercial space launch and reentry vehicles into the National Airspace System. The project addresses the needs for greater situational awareness and monitoring, and increased response capability during non-nominal and catastrophic incidents during space operations.

The initial phase of this project leverages current FAA systems, and provide an initial demonstration of capability that will provide for state data from a commercial reentry vehicle to be ingested into a the FAA Traffic Flow Management System, and displayed on Traffic Situation Displays. …

Thinking Rather Than Panicking About The Current Drone Threat, Tom Foley, Tyrone Groh

Aviation / Aeronautics / Aerospace International Research Conference

Originally titled "UAS Threats in Sport Venues," the authors opted to expand their focus to better to all threats from UASs, and to encourage better preparation for and responses to such threats. Foley and Groh discuss different strategies.

Interaction Model Of Functions In The National Airspace System, Nathan F. Koerschner, Steven J. Landry

The Summer Undergraduate Research Fellowship (SURF) Symposium

The National Airspace System (NAS) is comprehensively described by five functions derived from big-picture goals: (1) conflict detection and resolution, (2) controlling aircraft states, (3) traffic flow management, (4) controlling passenger states, and (5) controlling company resources. It can be reasonably assumed that these functions interact in some way; this interaction is currently unknown. A model of the entire NAS would be helpful in discovering these interactions, yet no such comprehensive model exists. To address this problem an agent-based state-based model was created in MATLAB. To date, only functions (1) and (2) were implemented. Running the model shows that there …