大数据
数据科学
多样性(控制论)
背景(考古学)
计算机科学
分析
数据分析
领域(数学)
运输工程
工程类
数据挖掘
地理
数学
考古
人工智能
纯数学
作者
Faeze Ghofrani,Qing He,Rob M.P. Goverde,Xiang Liu
标识
DOI:10.1016/j.trc.2018.03.010
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI