Third-Party Origin-Destination Data Validation for Transportation Planning Applications

Private-sector travel origin-destination (O/D) data has become increasingly popular in a variety of transportation planning applications, including travel demand modeling. But evolving privacy regulations, computational algorithms, and data sources may introduce uncertainties and biases in data quality and stability. The rise of new and big data sources for trip flows adds further complexity, raising concerns about sample size and data representativeness. Each provider’s O/D data has unique characteristics, making direct comparisons and validation challenging.  State departments of transportation (DOTs) and other agencies need to assess/validate the quality of passenger and freight crowdsourced O/D data. Currently, limited standard guidance exists for such a validation process, leading to potential inconsistencies or biases. Additionally, discrepancies in spatial and temporal granularity, as well as in inferred trip characteristics among vendors, require adaptable guidance. Research is needed to develop comprehensive O/D data accuracy assessment and validation frameworks to support transportation planning agencies in setting data standards and adapting to evolving data sources. OBJECTIVE: The objective of this research is to develop a guide for crowdsourced vehicle O/D data assessment and validation for transportation planning applications.   

• Record URL:
  • http://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=5656
• Supplemental Notes:
  • Contract to a Performing Organization has not yet been awarded.

Language

• English

Project

• Funding: $500,000.00
• Contract Numbers:

  Project 08-188

• Sponsor Organizations:

  National Cooperative Highway Research Program

  Transportation Research Board
  500 Fifth Street, NW
  Washington, DC  United States  20001

  American Association of State Highway and Transportation Officials (AASHTO)

  444 North Capitol Street, NW
  Washington, DC  United States  20001

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Project Managers:

  Nasri, Arefeh

• Start Date: 20250114
• Expected Completion Date: 0
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Best practices; Data collection; Data quality; Origin and destination; Travel demand; Travel patterns; Validation
• Subject Areas: Data and Information Technology; Planning and Forecasting; Transportation (General);

Filing Info

• Accession Number: 01919144
• Record Type: Research project
• Source Agency: Transportation Research Board
• Contract Numbers: Project 08-188
• Files: TRB, RIP
• Created Date: May 20 2024 8:52PM