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  • 标题:PERFORMANCE STUDY IN AUTONOMOUS AND CONNECTED VEHICLES A INDUSTRY 4.0 ISSUE
  • 本地全文:下载
  • 作者:ALESSANDRA PIERONI ; NOEMI SCARPATO ; MARCO BRILLI
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2018
  • 卷号:96
  • 期号:4
  • 页码:984
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Industry 4.0 represents an opportunity. The term 4.0 is used to specify the current industrial revolution, not-only from the technological point of view but also from the economical, sociological and strategical point of view. Indeed, this revolution involves different sectors: from manufacturing to healthcare. Its disruptive diffusion is due to several enabling technologies, such as Internet of Things (or Internet of Everything or Industrial Internet of Things), and, as said, it is a vision rather than a technological step forward. In this evolutionary process, the Connected and Autonomous Vehicles (CAVs) represent the perfect connection between technology and society world, an issue that stands actually in the center of Industry 4.0. This article intends to extend a previous work of the authors, in which a new and non-conventional approach to manage the great amount of data that is generated by the CAVs has been proposed. In particular, the validity of the approach will be demonstrated by means of performance indices specifically defined for this case study.
  • 关键词:Autonomous Vehicle; Connected Vehicle; Big Data; Graphdb; Internet Of Things; Industry 4.0; Performance Indices.
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