Abstract
The aviation industry is crucial through facilitating both cargo and passenger transportation domestically and internationally. This industry is characterized by high fuel and capital consumption, as well as the high requirement on safety. With the fast development of disruptive technologies such as artificial intelligence (AI) and machine learning techniques, the aviation industry has been reshaped dramatically and the industrial operational efficiency has been improved significantly. The AI-facilitated technological advancements have provided quicker and more reliable/accurate solutions for various aspects in the industry such as fuel consumption prediction (e.g., optimizing fuel load and reducing wastes), aircraft maintenance prediction (e.g., improving safety level and reducing maintenance costs), operational scheduling (e.g., through identifying better schedules more quickly with the assistance of AI techniques), and many others, leading to remarkable breakthroughs to the aviation industry. This chapter will review the advancements in the application of AI to the aviation industry for both the traditional scheduled airline sector and the emerging advanced air mobility sector.
| Original language | English |
|---|---|
| Title of host publication | Decision Support Systems for Sustainable Computing |
| Subtitle of host publication | Cognitive Data Science in Sustainable Computing |
| Publisher | Academic Press |
| Chapter | 9 |
| Pages | 187-240 |
| Number of pages | 18 |
| DOIs | |
| Publication status | Published - 31 May 2024 |