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A private matter: the implications of privacy regulations for intelligent transportation systems

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  • Jaimee Lederman
  • Brian D. Taylor
  • Mark Garrett

Abstract

The rapid development and deployment of Intelligent Transportation Systems (ITS) that utilize data on the movement of vehicles can greatly benefit transportation network operations and safety, but may test the limits of personal privacy. In this paper we survey the current state of legal and industry-led privacy protections related to ITS and find that the lack of existing standards, rules, and laws governing the collection, storage, and use of such information could both raise troubling privacy questions and potentially hinder implementation of useful ITS technologies. We then offer practical recommendations for addressing ITS-related privacy concerns though both privacy-by-design solutions (that build privacy protections into data collection systems), and privacy-by-policy solutions (that provide guidelines for data collection and treatment) including limiting the scope of data collection and use, assuring confidentially of data storage, and other ways to build trust and foster consumer consent.

Suggested Citation

  • Jaimee Lederman & Brian D. Taylor & Mark Garrett, 2016. "A private matter: the implications of privacy regulations for intelligent transportation systems," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(2), pages 115-135, March.
    • Handle: RePEc:taf:transp:v:39:y:2016:i:2:p:115-135
    DOI: 10.1080/03081060.2015.1127537
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    Cited by:

    1. Raturi, Varun & Hong, Jinhyun & McArthur, David Philip & Livingston, Mark, 2021. "The impact of privacy protection measures on the utility of crowdsourced cycling data," Journal of Transport Geography, Elsevier, vol. 92(C).
    2. Wood, Liza & Scott, Tyler A., 2022. "Transportation agencies as consumers and producers of science: The case of state, regional, and county transportation agencies in California," Transport Policy, Elsevier, vol. 128(C), pages 153-165.

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