Review of Methods for Data Validation and Expansion of Passively Collected Origin–Destination Data

The advent of new sources of passive data from mobile electronic and in-vehicle devices presents an opportunity for improved analysis, modeling, and forecasting of travel patterns. However, these data also present a particular challenge since they do not constitute controlled random samples and cannot therefore be presumed to be representative of the travel patterns of the population as a whole. The first step of any analysis using passive origin-destination data must therefore include validation of the representativeness and/or expansion of the data sample to represent all travel. Various methods and approaches to this task have been applied in practice with varying degrees of success. After presenting an overview of the currently available sources of passive origin-destination data, this paper reviews eight methods of validating and expanding such data known to be used in practice. The paper compares the assumptions, data requirements, computing requirements, level of effort, and general advantages and disadvantages of the various methods and their appropriateness to different types of analysis.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ABJ30 Standing Committee on Urban Transportation Data and Information Systems. Alternate title: Review of Methods for Data Validation and Expansion of Passive Origin–Destination Data
  • Authors:
    • Bernardin, Vincent L
    • Sadrsadat, Hadi
  • Conference:
  • Date: 2018

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 17p

Subject/Index Terms

Filing Info

  • Accession Number: 01659506
  • Record Type: Publication
  • Report/Paper Numbers: 18-00635
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 7 2018 1:41PM