Agencies planning to acquire crowdsourced data to support real-time traveler information systems should clearly specify temporal and spatial coverage and sample size requirements since proprietary products will likely have limited transparency.

A synthesis of state and regional agency experience acquiring proprietary data for transportation applications.

Nationwide; United States

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Lesson Learned

Lack of transparency in proprietary methods used to clean, process, and aggregate crowdsource data is often cited as the main reason transportation agencies are hesitant to integrate these data into existing real-time traveler information systems.

Respondents and interviewees recommended the following:
  • Include clear data specifications in the request for proposal (RFP), including temporal and spatial coverage and sample size requirement.
  • Request sample data from vendors for evaluation.
  • Consider customer service during vendor selection.
  • Include a service-level agreement in the RFP and the contract.
  • Specify the exit strategy in the contract.

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Practices on Acquiring Proprietary Data for Transportation Applications

Author: Zhang, Xu; Chris Van Dyke; Greg Erhardt; and Mei Chen

Published By: The National Academies Press

Source Date: 01/01/2019

Other Reference Number: ISBN 978-0-309-48051-2

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Lesson ID: 2020-00933