Harnessing Artificial Intelligence in Civil Aviation

The integration of Artificial Intelligence (AI) into the aviation industry is revolutionizing operational efficiency, safety, and the passenger experience. This paper provides a comprehensive examination of the current and potential applications of AI in aviation. The introduction defines AI and outlines its key characteristics, setting the stage for a detailed exploration of its practical uses. The second chapter reviews case studies of airlines that have successfully implemented AI technologies, highlighting improvements in areas such as flight operations, customer service, and scheduling. The third chapter focuses on future applications, particularly predictive maintenance, and its potential to enhance reliability and reduce costs. The final chapter presents a SWOT analysis, assessing the strengths, weaknesses, opportunities, and threats associated with the adoption of AI in aviation. By synthesizing these elements, the paper aims to provide insights into how AI can shape the future of the industry and inform strategic decision-making..

Authors

Institutions

Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1109/ntad63796.2024.10850033
Citations
1
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
0.45
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Harnessing Artificial Intelligence in Civil Aviation

Patrik Šváb, Sebastián Čikovský, Patrik Géci
1 citations
Occupational Health and Safety Research
0.45
article

Harnessing Artificial Intelligence in Civil Aviation

Patrik Šváb, Sebastián Čikovský, Patrik Géci
article en
1 citations

Abstract

The integration of Artificial Intelligence (AI) into the aviation industry is revolutionizing operational efficiency, safety, and the passenger experience. This paper provides a comprehensive examination of the current and potential applications of AI in aviation. The introduction defines AI and outlines its key characteristics, setting the stage for a detailed exploration of its practical uses. The second chapter reviews case studies of airlines that have successfully implemented AI technologies, highlighting improvements in areas such as flight operations, customer service, and scheduling. The third chapter focuses on future applications, particularly predictive maintenance, and its potential to enhance reliability and reduce costs. The final chapter presents a SWOT analysis, assessing the strengths, weaknesses, opportunities, and threats associated with the adoption of AI in aviation. By synthesizing these elements, the paper aims to provide insights into how AI can shape the future of the industry and inform strategic decision-making..

Technical University of Košice (SK)
Openalex Percentile: Top 32%
Occupational Health and Safety Research
0.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Harnessing Artificial Intelligence in Civil Aviation — Patrik Šváb, Sebastián Čikovský, et al. · (2024) | TGRS Research Map | TGRS