A literature review of Artificial Intelligence applications in railway systems-Reference-Cited by-同舟云学术

A literature review of Artificial Intelligence applications in railway systems

Published:2022-07 Issue: Volume:140 Page:103679
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Tang Ruifan^ORCID,De Donato Lorenzo,Bes̆inović Nikola,Flammini Francesco^ORCID,Goverde Rob M.P.^ORCID,Lin Zhiyuan,Liu Ronghui,Tang Tianli,Vittorini Valeria,Wang Ziyulong

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference207 articles.

1. Learning from accidents: Machine learning for safety at railway stations;Alawad;IEEE Access,2020

2. Efficient circulation of railway rolling stock;Alfieri;Transp. Sci.,2006

3. Predictive maintenance using tree-based classification techniques: A case of railway switches;Allah Bukhsh;Transp. Res. C,2019

4. A fuzzy reasoning and fuzzy-analytical hierarchy process based approach to the process of railway risk information: A railway risk management system;An;Inform. Sci.,2011

5. Data augmentation generative adversarial networks;Antoniou,2017

Cited by 101 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Railway cold chain freight demand forecasting with graph neural networks: A novel GraphARMA-GRU model;Expert Systems with Applications;2024-12

2. Industry 4.0 for passenger railway companies: A maturity model proposal for technology management;Journal of Rail Transport Planning & Management;2024-12

3. Optimization of the cruising speed for high-speed trains to reduce energy consumed by motion resistances;Applied Energy;2024-11

4. Deep learning based identification and tracking of railway bogie parts;Alexandria Engineering Journal;2024-11

5. Identifying climate-related failures in railway infrastructure using machine learning;Transportation Research Part D: Transport and Environment;2024-10