Show the Way: Accelerating General Aviation Accident Investigations through LLMs and HFACS

Q Liu, Y Yan, F Li, S Feng - Advances in …, 2024 - openaccess.cms-conferences.org
General Aviation (GA), with the highest accident and fatality rates in civil aviation, undergoes
lengthy accident investigations that include site analysis, witness interviews, cause …

Examining the potential of generative language models for aviation safety analysis: Case study and insights using the aviation safety reporting system (asrs)

A Tikayat Ray, AP Bhat, RT White, VM Nguyen… - Aerospace, 2023 - mdpi.com
This research investigates the potential application of generative language models,
especially ChatGPT, in aviation safety analysis as a means to enhance the efficiency of …

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

AP Bhat, RT White, VM Nguyen, PF OJ, DN Mavris - 2023 - europepmc.org
This research investigates the potential application of generative language models,
especially ChatGPT, in aviation safety analysis as a means to enhance the efficiency of …

[PDF][PDF] Article Not peer-reviewed version

AT Ray, AP Bhat, RT White, VM Nguyen, OJP Fischer… - 2023 - researchgate.net
This research investigates the potential application of generative language models,
especially ChatGPT, in aviation safety analysis as a means to enhance the efficiency of …

Highway Construction Safety Analysis Using Large Language Models

M Smetana, L Salles de Salles, I Sukharev… - Applied Sciences, 2024 - mdpi.com
Featured Application Use of large language models and AI to analyze construction safety
data. Abstract The highway construction industry carries substantial safety risks for workers …

Sequential classification of aviation safety occurrences with natural language processing

A Nanyonga, H Wasswa, U Turhan, O Molloy… - AIAA AVIATION 2023 …, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-4325. vid Safety is a critical aspect
of the air transport system given even slight operational anomalies can result in serious …

Injury severity on traffic crashes: A text mining with an interpretable machine-learning approach

C Arteaga, A Paz, JW Park - Safety Science, 2020 - Elsevier
The analysis of traffic crash severities provides significant information for the development of
safety countermeasures. Most available traffic crash datasets contain rich information …

Large Language Models in Analyzing Crash Narratives--A Comparative Study of ChatGPT, BARD and GPT-4

M Mumtarin, MS Chowdhury, J Wood - arXiv preprint arXiv:2308.13563, 2023 - arxiv.org
In traffic safety research, extracting information from crash narratives using text analysis is a
common practice. With recent advancements of large language models (LLM), it would be …

Improving Large Language Model Assisted Categorization and Classification of Highway Construction Accidents from Osha Databases

M Smetana, L Salles de Salles… - Available at SSRN … - papers.ssrn.com
The construction industry, particularly in highway work zones, grapples with persistently high
rates of occupational injuries and fatalities, requiring a transformative approach to bolster …

A scoping literature review of natural language processing application to safety occurrence reports

J Ricketts, D Barry, W Guo, J Pelham - Safety, 2023 - mdpi.com
Safety occurrence reports can contain valuable information on how incidents occur,
revealing knowledge that can assist safety practitioners. This paper presents and discusses …