Research papers

Examining the Potential of Generative Language Models for Aviation Safety Analysis: Case Study and Insights Using the Aviation Safety Reporting System (ASRS)

This research investigates the potential application of generative language models, especially ChatGPT, in aviation safety analysis as a means to enhance the efficiency of safety analyses and accelerate the time it takes…

Natural Language Processing (NLP) in Aviation Safety: Systematic Review of Research and Outlook into the Future

Advanced digital data-driven applications have evolved and significantly impacted the transportation sector in recent years. This systematic review examines natural language processing (NLP) approaches applied to aviatio…

Sequential Classification of Aviation Safety Occurrences with Natural Language Processing

Safety is a critical aspect of the air transport system given even slight operational anomalies can result in serious consequences. To reduce the chances of aviation safety occurrences, accidents and incidents are report…

Designing augmented reality for future commercial aviation: a user-requirement analysis with commercial aviation pilots

Augmented reality (AR) capable head-mounted displays (HMDs) have been proposed as technological enablers of several complex future flight concepts, which will bring accompanying pilot situation awareness (SA) and operati…

Intelligent Fault Diagnosis of an Aircraft Fuel System Using Machine Learning—A Literature Review

The fuel system, which aims to provide sufficient fuel to the engine to maintain thrust and power, is one of the most critical systems in the aircraft.

Analysis of Single-Pilot Intention Modeling in Commercial Aviation

With the continual enhancement of the onboard avionics, the minimum flight crew has been downsized from five to two-person crew mode, and reduced crew operation has drawn extensive attention from aviation experts.

Minimum-Time Trajectory Generation of eVTOL in Low-Speed Phase: Application in Control Law Design

With the emergence of electric propulsive technologies in the past decades, electric vertical takeoff and landing (eVTOL) aircraft gain increasing interest, which paves the path for advanced air mobility.

Enhancing livelihoods in farming communities through super-resolution agromet advisories using advanced digital agriculture technologies

Agricultural production in India is highly vulnerable to climate change. Transformational change to farming systems is required to cope with this changing climate to maintain food security, and ensure farming to remain e…

Artificial Intelligence-Enabled Exploratory Cyber-Physical Safety Analyzer Framework for Civilian Urban Air Mobility

Urban air mobility (UAM) has become a potential candidate for civilization for serving smart citizens, such as through delivery, surveillance, and air taxis.

Research on Aviation Safety Prediction Based on Variable Selection and LSTM

Accurate prediction of aviation safety levels is significant for the efficient early warning and prevention of incidents. However, the causal mechanism and temporal character of aviation accidents are complex and not ful…

The effect of COVID-19 on self-reported safety incidents in aviation: An examination of the heterogeneous effects using causal machine learning

Introduction: Disruptions to aviation operations occur daily on a micro-level with negligible impacts beyond the inconvenience of rebooking and changing aircrew schedules.

Safety Assured Online Guidance With Airborne Separation for Urban Air Mobility Operations in Uncertain Environments

The concept of Urban Air Mobility (UAM) proposes to use revolutionary new electrical vertical takeoff and landing (eVTOL) aircraft to provide efficient and on-demand air transportation service between places previously u…

Natural Language Processing of Aviation Safety Reports to Identify Inefficient Operational Patterns

With the growth in commercial aviation traffic and the need for improved environmental performance, strategies to lower emissions that can be implemented in the near term are necessary.

The case for change: aviation worker wellbeing during the COVID 19 pandemic, and the need for an integrated health and safety culture

The workplace is an important setting for health protection, health promotion and disease prevention. Currently, health and wellbeing approaches at an aviation organisational level are not addressing both human and safet…

Reachability based Online Safety Verification for High-Density Urban Air Mobility Trajectory Planning

This paper presents a safe and scalable real-time trajectory planning framework for high-density Urban Air Mobility (UAM). The framework extends our previously developed highly efficient Markov Decision Process (MDP) bas…

Management and intelligent control of in‐flight fuel distribution in a commercial aircraft

Fuel management is an important issue in aviation for safety and efficiency reasons. This work develops an alternative solution based on an artificial intelligent technique to the fuel distribution management problem in …

Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain

In the commercial aviation domain, there are a large number of documents, like accident reports of NTSB and ASRS, and regulatory directives ADs.

Application of Augmented Reality for Aviation Equipment Inspection and Maintenance Training

In the procedure of aviation equipment maintenance, a healthy status and prior knowledge are essential to every person. Making the newcomers get familiar with their tasks rapidly and reducing human error are important is…

Application of structural topic modeling to aviation safety data

Design of simulation-based pilot training systems using machine learning agents

The high operational cost of aircraft, limited availability of air space, and strict safety regulations make training of fighter pilots increasingly challenging.

Effectiveness of Virtual Reality Simulations for Civilian, Ab Initio Pilot Training

Automatic speech recognition in noise polluted cockpit environments for monitoring the approach briefing in commercial aviation

The language processing part of the overall system is described, which is a commercially available automatic speech recognition system trained on aviation specific vocabulary and strategies for dealing with cockpit noise…

Fatigue detection method for UAV remote pilot based on multi feature fusion

In recent years, UAV industry is developing rapidly and vigorously. However, so far, there is no relevant research on the fatigue detection method for UAV remote pilot, which is the core technology to ensure the flight s…

Machine Learning based Prediction of Situational Awareness in Pilots using ECG Signals

Reducing aviation fatalities requires a high level of reliable real-time monitoring so that events can be predicted and prevented before they can occur.

Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study

Non-pathological mental fatigue is a recurring, but undesirable condition among people in the fields of office work, industry, and education.

Classification and Analysis of Go-Arounds in Commercial Aviation Using ADS-B Data

Go-arounds are a necessary aspect of commercial aviation and are conducted after a landing attempt has been aborted. It is necessary to conduct go-arounds in the safest possible manner, as go-arounds are the most safety-…

Sequential deep learning from NTSB reports for aviation safety prognosis

A set of data-mining and sequential deep learning techniques are applied to accident investigation reports published by the National Transportation Safety Board in support of the prognosis of adverse events.

Identifying Incident Causal Factors to Improve Aviation Transportation Safety: Proposing a Deep Learning Approach

Aviation is a complicated transportation system, and safety is of paramount importance because aircraft failure often involves casualties. Prevention is clearly the best strategy for aviation transportation safety.

Bayesian network modeling of accident investigation reports for aviation safety assessment

Abstract Safety assurance is of paramount importance in the air transportation system. In this paper, we analyze the historical passenger airline accidents that happened from 1982 to 2006 as reported in the National Tran…

Traffic collision avoidance system: false injection viability

Safety is a simple concept but an abstract task, specifically with aircraft. One critical safety system, the Traffic Collision Avoidance System II (TCAS), protects against mid-air collisions by predicting the course of o…

Performance-Based Iterative Learning Control for Task-Oriented Rehabilitation: A Pilot Study in Robot-Assisted Bilateral Training

Active participation from human subjects can enhance the effectiveness of robot-assisted rehabilitation. Developing interactive control strategies for customized assistance is therefore essential for encouraging human–ro…

Multi-Class Multiple Instance Learning for Predicting Precursors to Aviation Safety Events

In recent years, there has been a rapid growth in the application of machine learning techniques that leverage aviation data collected from commercial airline operations to improve safety.

High-Resolution and Large-Detection-Range Virtual Antenna Array for Automotive Radar Applications

Collision avoidance and autonomous control of vehicles have become essential needs for providing a high-quality and safe life. This paper introduces a new generic scheme for a virtual antenna array (VAA) and its applicat…

A Comparative Overview of Accident Forecasting Approaches for Aviation Safety

The demand of air transportation is expected to be doubled over the next two decades as per the recommendations of the International Air Transport Association.

The effects of Virtual Reality technology application in the aircraft pilot training process

In this study, we focus on some problems related to virtual reality technology usage in supporting the educational process. The main goal is to obtain the optimal duration of exposure to virtual reality without the appea…

Virtual Reality for Pilot Training: Study of Cardiac Activity

: Flight training is provided through real flights with real aircraft and virtual flights using simulators. Nowadays a third alternative way emerges which is the use of immersive virtual reality (VR) flight deck.

A Comparison of Rule-Based and Machine Learning Models for Classification of Human Factors Aviation Safety Event Reports

There is growing interest in the study and practice of applying data science (DS) and machine learning (ML) to automate decision making in safety-critical industries.

Assessment of Fatigue Using Wearable Sensors: A Pilot Study

Background: Fatigue is a broad, multifactorial concept encompassing feelings of reduced physical and mental energy levels. Fatigue strongly impacts patient health-related quality of life across a huge range of conditions…

Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning

Abstract In recent years, due to the increased availability of data and improvements in computing power, application of machine learning techniques to various aviation safety problems for identifying, isolating, and redu…

Using the Functional Resonance Analysis Method (FRAM) in Aviation Safety: A Systematic Review

The functional resonance analysis method (FRAM) is a system-based method to understand highly complex sociotechnical systems. Besides learning from safety occurrences or undesirable states, FRAM can be used to understand…

Natural Language Processing Based Method for Clustering and Analysis of Aviation Safety Narratives

The complexity of commercial aviation operations has grown substantially in recent years, together with a diversification of techniques for collecting and analyzing flight data.

An evaluation of fatigue factors in maritime pilot work scheduling

ABSTRACT Maritime piloting operations involve on-call work schedules that may lead to sleep loss and circadian misalignment. Our study documented pilot work scheduling practices (n = 61) over a one-year period.

An Assessment of GPS Spoofing Detection Via Radio Power and Signal Quality Monitoring for Aviation Safety Operations

Due to the ever-growing threat of GPS spoofing, it has become necessary for the aviation sector to develop an effective means of detection.

Responding to an Unexpected In-Flight Event: Physiological Arousal, Information Processing, and Performance

Objective The study was designed to investigate whether a simulated unexpected abnormal flight event can lead to startle and explore differences in behavioral responses between expected and unexpected abnormal flight eve…

Explainable Artificial Intelligence for Aviation Safety Applications

A Supervised Learning Approach for Safety Event Precursor Identification in Commercial Aviation

Critical Parameter Identification for Safety Events in Commercial Aviation Using Machine Learning

In recent years, there has been a rapid growth in the application of data science techniques that leverage aviation data collected from commercial airline operations to improve safety.

Sum-of-Squares Flight Control Synthesis for Deep-Stall Recovery

Certification of inflight loss-of-control recovery is complicated by the highly nonlinear flight dynamics beyond stall. In lieu of extensive Monte Carlo simulations for flight control certification...

A System-Level Failure Propagation Detectability Using ANFIS for an Aircraft Electrical Power System

The Electrical Power System (EPS) in an aircraft is designed to interact extensively with other systems. With a growing trend towards more electric aircraft, the complexity of interactions between the EPS and other syste…

Real-time anomaly detection framework using a support vector regression for the safety monitoring of commercial aircraft

Abstract The development of an automated health monitoring framework is critical for aviation system safety, especially considering the expected increase in air traffic over the next decade.