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文章基本信息

  • 标题:Mining Users Mobility at Public Transportation
  • 本地全文:下载
  • 作者:joao ferreira
  • 期刊名称:Inteligencia Artificial : Ibero-American Journal of Artificial Intelligence
  • 印刷版ISSN:1137-3601
  • 电子版ISSN:1988-3064
  • 出版年度:2017
  • 卷号:20
  • 期号:59
  • 页码:32-41
  • 语种:English
  • 出版社:Spanish Association for Intelligence Artificial
  • 摘要:In this research work we propose a new approach to estimate the number of passengers in a public transportation and determinate the users’ route path based on a passive approach without user intervention. The method is based on the probe requests of users mobile device through the collected data in wireless access point. This data is manipulated to extract the information about the numbers of users with mobile devices and track their route path and time. This data can be manipulated to extract useful knowledge related with users’ habits at public transportation and extract user mobility patterns.
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