Research papers

Understanding human error in military aviation maintenance: The role of Performance shaping factors, cognitive workload and error orientation

Symbolic and Safety-Centric Formal Verification of MAVLink for Autonomous eVTOL Systems

The growing use of autonomous electric Vertical Takeoff and Landing (A-eVTOL) vehicles demands secure and reliable command and control (C2) communication to meet stringent safety and regulatory requirements.

Towards Safer UAV Operations in Urban Air Mobility: 3D Automated Modelling for CFD-Based Microweather Systems

Turbulence and wind gusts pose significant risks to the safety and efficiency of UAVs (uncrewed aerial vehicles) in urban environments.

Designing human-centric intelligent systems in aviation: applications of artificial cognitive systems, AI-enhanced investigations, and immersive eVTOL simulation training

As aviation advances toward greater automation and data integration, human-centered design, regulatory alignment, and collaborative autonomy remain critical.

ASFT-Transformer: A Fast and Accurate Framework for EEG-Based Pilot Fatigue Recognition

Objective evaluation of pilot fatigue is crucial for enhancing aviation safety. Although electroencephalography (EEG) is regarded as an effective tool for recognizing pilot fatigue, the direct application of deep learnin…

Lightweight and mobile artificial intelligence and immersive technologies in aviation

This review examines the current applications, benefits, challenges, and future potential of artificial intelligence (AI) and immersive aviation technologies.

Integrated Take-off Management and Trajectory Optimization for Merging Control in Urban Air Mobility Corridors

Urban Air Mobility (UAM) has the potential to revolutionize daily transportation, offering rapid and efficient aerial mobility services.

Advancing Aviation Safety and Sustainable Infrastructure: High-Accuracy Detection and Classification of Foreign Object Debris Using Deep Learning Models

Foreign Object Debris (FOD) presents a critical threat to aviation safety, with the potential to damage aircraft and jeopardize lives.

Investigating the Independent and Combined Effects of Startle and Surprise in a Simulated Flight Task

Objective We aimed to characterize the impact of startle and surprise, both independently and in combination, on subjective feelings, behavior (task performance and gaze behavior), and several physiological parameters.

Urban Air Mobility, Personal Drones, and the Safety of Occupants - A Comprehensive Review

Urban air mobility (UAM) is expected to provide environmental benefits while enhancing transportation for citizens and businesses, particularly in commercial and emergency medical applications.

Data-driven flight path monitoring technique using recurrent neural network for the safety management of commercial aircraft

Aviation spins, particularly at low altitudes, significantly contribute to fatalities due to limited recovery time. Standard recovery procedures typically only become eligible after a spin is fully developed, by which ti…

On-Demand Urban Air Mobility Scheduling with Operational Considerations

This paper introduces an on-demand sequencing and scheduling framework for Urban Air Mobility (UAM) with electric vertical takeoff and landing (eVTOL) aircraft.

Classifying Aviation Safety Reports: Using Supervised Natural Language Processing (NLP) in an Applied Context

This paper presents a practical approach to classifying aviation safety reports in an operational context. The goals of the research are as follows: (a) successfully demonstrate a replicable, practical methodology levera…

Applications of natural language processing in aviation safety: A review and qualitative analysis

This study explores using Natural Language Processing in aviation safety, focusing on machine learning algorithms to enhance safety measures.

Classification of Operational Records in Aviation Using Deep Learning Approaches

Ensuring safety in the aviation industry is critical, even minor anomalies can lead to severe consequences. This study evaluates the performance of four different models for DP (deep learning), including Bidirectional Lo…

Aerial-Terrestrial Heterogeneous Networks for Urban Air Mobility: A Performance Analysis

Urban air mobility (UAM) is increasingly capturing the attention of researchers and industry experts, as it holds the promise of providing faster and more economical solutions for urban commuting.

CAST-Eval: A Domain-Specific Benchmark for Large Language Models in Civil Aviation Safety

In this paper, we present CAST-Eval, a novel, comprehensive and domain-specific benchmark designed to assess the knowledge and reasoning capabilities of large language models (LLMs) in the civil aviation domain.

Urban Air Mobility Communications and Networking: Recent Advances, Techniques, and Challenges

Over the past few years, our traditional ground-based transportation system has encountered various challenges, including overuse, traffic congestion, growing urban populations, high infrastructure costs, and disorganiza…

Wind of Change: Investigating Information Visualizations for Passengers and Residents' Perception of Automated Urban Air Mobility

Automated Urban Air Mobility (UAM) is expected to improve passenger transportation but raises concerns about passenger trust and its impact on residents.

Artificial Intelligence in Aviation Safety: Systematic Review and Biometric Analysis

The analysis discerns prominent research trends, including aviation accident analysis, pilot behavior, aviation safety measures, and endeavors to enhance safety standards, and highlights China’s notable contributions to …

Secondary Voltage Control for DC Microgrids: A Design Perspective for SoC With Voltage Restoration Provision

The energy management system (EMS) secondary voltage control design, integrating state-of-charge (SoC) equalization and droop control in redundancy-based dc microgrids (MGs), is ideal for vehicles, aircraft, and medical …

Aviation-BERT-NER: Named Entity Recognition for Aviation Safety Reports

This work introduces Aviation-BERT-NER, a Named Entity Recognition (NER) system tailored for aviation safety reports, building on the Aviation-BERT base model developed at the Georgia Institute of Technology’s Aerospace …

Ultra-reliable urban air mobility networks

Recently, urban air mobility (UAM) has attracted attention as an emerging technology that will bring innovation to urban transportation and aviation systems.

Hazard Analysis for Massive Civil Aviation Safety Oversight Reports Using Text Classification and Topic Modeling

There are massive amounts of civil aviation safety oversight reports collected each year in the civil aviation of China. The narrative texts of these reports are typically short texts, recording the abnormal events detec…

Enhancing aviation safety and mitigating accidents: A study on aviation safety hazard identification

RIS-Aided Trajectory Optimization in Layered Urban Air Mobility

Urban air mobility (UAM) relies on developing aerospace industries, where safe aviation and efficient communication are critical features of aircraft.

Optimal Charging with Active Thermal Management for eVTOL Aircraft Battery Packs

Electric vertical takeoff and landing (eVTOL) aircraft operation often requires the battery packs to be charged and thermally conditioned to a given range of state-of-charge (SOC) and temperature for the next flight in m…

Exploring Safety Culture in Urban Air Mobility: System of Systems Perspectives Using Enterprise Architecture

Urban Air Mobility (UAM) is an emerging industry marked by technological advancements, new operational contexts, and regulatory frameworks.

Application of text mining and coupling theory to depth cognition of aviation safety risk

Integrated Arrival and Departure Management for Urban Air Mobility Vertiport Operations in the New York City Airspace

This paper introduces the Vertiport Human-Automation Teaming Toolbox (V-HATT), a novel framework developed for managing Urban Air Mobility (UAM) in terminal airspace and vertiports.

TADAD: Trust AI-based Decentralized Anomaly Detection for Urban Air Mobility Networks at Tactical Edges

Urban Air Mobility (UAM) networks pose challenges to confidentiality, availability, and integrity within security and safety concerns.

Toward robust and efficient communications for urban air mobility

For the realization of the future urban air mobility, reliable information exchange based on robust and efficient communication between all airspace participants will be one of the key factors to ensure safe operations.

The Impact of Artificial Intelligence on Future Aviation Safety Culture

Artificial intelligence is developing at a rapid pace, with examples of machine learning already being used in aviation to improve efficiency.

A Decentralized Voting and Monitoring Flight Control Actuation System for eVTOL Aircraft

The emergence of eVTOL (electrical Vertical Takeoff and Landing) aircraft necessitates the development of safe and efficient systems to meet stringent certification and operational requirements.

Aviation Safety for Urban Air Mobility: Pilot Licensing and Fatigue Management

Urban Air Mobility (UAM) is an emerging air traffic system designed for passengers and cargo in and around urban environments. Both the Federal Aviation Administration of the United States and the European Union Aviation…

Autonomous Navigation for eVTOL: Review and Future Perspectives

This survey paper explores the emergent domain of electric vertical takeoff and landing vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities essential for their effective integration and…

Graph Learning-based Fleet Scheduling for Urban Air Mobility under Operational Constraints, Varying Demand & Uncertainties

This paper develops a graph reinforcement learning approach to online planning of the schedule and destinations of electric aircraft that comprise an urban air mobility (UAM) fleet operating across multiple vertiports.

Certification Aspects of Runtime Assurance for Urban Air Mobility

The transition towards autonomous operations for Urban Air Mobility introduces significant safety challenges, necessitating novel safety assurance strategies.

A Review on Airspace Design and Risk Assessment for Urban Air Mobility

The increasing deterioration of urban traffic congestion has led to the emergence of Urban Air Mobility (UAM). UAM seeks to reduce congestion by offering flexible and efficient aerial transportation using electric vertic…

Synthetic Data-Integrated Li-Ion Battery Modeling for eVTOL Energy Systems

Lithium-ion batteries play a crucial role in present-day energy storage systems, necessitating the development of precise prediction models to improve their performance and ensure safety.

On a Collision Course: Unveiling Wireless Attacks to the Aircraft Traffic Collision Avoidance System (TCAS)

The first working RF attacks on TCAS are introduced, demonstrating how to take full control over the collision avoidance displays and create so-called Resolution Advisories of arbitrary aircraft on a collision course and…

5G-Based Synchronous Network for Air Traffic Monitoring in Urban Air Mobility

In the next decade, Urban Air Mobility (UAM) is expected to become a global reality. Its success hinges on the realization of infrastructures for air traffic control and management (ATM) to guarantee security and safety …

Intelligent Spectrum and Airspace Resource Management for Urban Air Mobility Using Deep Reinforcement Learning

In an era dominated by a surge in air travel and heightened reliance on efficient communication systems, there’s a critical need to smartly allocate frequency resources for aviation communications to efficiently manage a…

Bayesian network model of aviation safety: Impact of new communication technologies on mid-air collisions

Aviation Safety Enhancement via NLP & Deep Learning: Classifying Flight Phases in ATSB Safety Reports

Aviation safety is paramount, demanding precise analysis of safety occurrences during different flight phases. This study employs Natural Language Processing (NLP) and Deep Learning models, including LSTM, CNN, Bidirecti…

Aircraft trajectory prediction and aviation safety in ADS-B failure conditions based on neural network

With the rapid expansion of transportation demand, the number of global flights has rapidly increased, which also poses challenges to air traffic management (ATM).

Illuminating the Neural Landscape of Pilot Mental States: A Convolutional Neural Network Approach with Shapley Additive Explanations Interpretability

Predicting pilots’ mental states is a critical challenge in aviation safety and performance, with electroencephalogram data offering a promising avenue for detection.

Method of Intelligent Management of Aviation Maintenance Tools Based on RFID Technology

The aviation industry heavily relies on efficient maintenance processes to ensure safe and reliable operations. However, the management and organization of maintenance tools in aviation are often time-consuming and prone…

Extracting Domain-Specific Chinese Named Entities for Aviation Safety Reports: A Case Study

Aviation safety reports can provide detailed records of past aviation safety accidents, analyze their problems and hidden dangers, and help airlines and other aviation enterprises avoid similar accidents from happening a…

Can Urban Air Mobility become reality? Opportunities and challenges of UAM as innovative mode of transport and DLR contribution to ongoing research

Urban Air Mobility (UAM) is a new air transportation system for passengers and cargo in urban environments, enabled by new technologies and integrated into multimodal transportation systems.