BROWSE
Detail
Journal Article
철도 시스템에서 AI 적용 현황 조사 및 분석
- Issue Date
- 2026-04
- Citation
- 전자통신동향분석, v.41, no.2, pp.73-85
- ISSN
- 1225-6455
- Publisher
- 한국전자통신연구원
- Language
- Korean
- Type
- Journal Article
- Abstract
- Artificial intelligence (AI) is being utilized across nearly all industries to enhance productivity, reduce costs, and improve service quality, and the railway industry is no exception. Recently, as the importance of data-driven operations in railway systems has become increasingly evident, AI has attracted considerable attention as a key means of simultaneously improving both the efficiency and safety of railway systems. Reflecting this trend, a wide range of research and development activities on AI technologies for supporting railway systems have been reported worldwide. This study surveys and analysis of recent researches on the application of AI technologies to railway systems. Through the survey and analysis, we compare and analyze the differences among these studies, introduce an appropriate classification framework that can be used when applying AI technologies to railway systems and provide a comprehensive overview of how AI models are being applied in railway systems.
- Keyword
- AI, Q-learning, 강화학습, 열차시각표재편성, 철도 시스템
- KSP Keywords
- Classification framework, Data-Driven, Q-Learning, Service Quality, artificial intelligence, railway industry, railway systems, research and development(R&D), wide range
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
