Recent applications of big data analytics in railway transportation systems: A survey

Faeze Ghofrani, Qing He, Rob M.P. Goverde, Xiang Liu

Research output: Contribution to journalArticleScientificpeer-review

102 Citations (Scopus)

Abstract

Big data analytics (BDA) has increasingly attracted a strong attention of analysts, researchers and practitioners in railway transportation and engineering. This urges the necessity for a review of recent research development in this field. This survey aims to provide a comprehensive review of the recent applications of big data in the context of railway engineering and transportation by a novel taxonomy framework, proposed by Mayring (2003). The survey covers three areas of railway transportation where BDA has been applied, namely operations, maintenance and safety. Also, the level of big data analytics, types of big data models and a variety of big data techniques have been reviewed and summarized. The results of this study identify the existing research gaps and thereby directions of future research in BDA in railway transportation systems.

Original languageEnglish
Pages (from-to)226-246
Number of pages21
JournalTransportation Research Part C: Emerging Technologies
Volume90
DOIs
Publication statusPublished - 1 May 2018

Keywords

  • Big data
  • Data analytics
  • Railway transportation systems
  • Survey

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