An Evaluation of Knowledge Discovery Techniques for Big Transportation Data

In an ever growing internet of things (IoT) environment the amount of data produced and available for analysis is growing exponentially. In order to access and process these data sources new methods and tools are needed that can sufficiently process big data as well as ensure the quality and completeness of the data. For researchers and practitioners the use of technology should enhance their workflows and enable questions to be answered faster using all available relevant data. An intelligent architecture or software stack enables the data self service in a transparent way. This research proposes a prototype system that would enable researchers to efficiently work with ‘Big Data’ sources.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures; References; Tables;
  • Pagination: 26p

Subject/Index Terms

Filing Info

  • Accession Number: 01685334
  • Record Type: Publication
  • Contract Numbers: DTRT13-G-UTC48
  • Files: UTC, TRIS, ATRI, USDOT
  • Created Date: Nov 6 2018 8:27AM