Transportation Big Data: Promises, Issues, and Implications

Big data and related data analytics methods have received much attention recently in transportation for various planning and operational applications. This paper summarizes the promises of big data and illustrates the issues of some commonly used big data sources in transportation. The authors then briefly discuss the implications of such issues and suggest a pathway that may help address those issues.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ADA10 Standing Committee on Statewide Multimodal Transportation Planning.
• Authors:
  • Chen, Cynthia
  • Ban, Xuegang (Jeff)
• Conference:
  • Transportation Research Board 97th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2018-1-7 to 2018-1-11
• Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References;
• Pagination: 18p

Subject/Index Terms

• TRT Terms: Data analysis; Research; Transportation operations; Transportation planning
• Uncontrolled Terms: Big data
• Subject Areas: Data and Information Technology; Planning and Forecasting; Transportation (General);

Filing Info

• Accession Number: 01661299
• Record Type: Publication
• Report/Paper Numbers: 18-04822
• Files: TRIS, TRB, ATRI
• Created Date: Feb 26 2018 1:47PM