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A Perspective on the Challenges and Opportunities for Privacy-Aware Big Transportation Data

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Abstract

In recent years, and especially since the development of the smartphone, enormous amounts of data relevant for transportation have become available. These data hold out the potential to redefine how transportation system (i.e., design, planning and operations) is done. While researchers in both academia and industry are making advances in using this data to transportation system ends (e.g., information inference from collected data), little attention has been paid to four larger scale challenges that will need to be overcome if the potential for Big Transportation Data is to be harnessed for transportation decision-making purposes. This paper aims to provide awareness of these large-scale challenges and provides insight into how we believe these challenges are likely to be met.

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Funding

Funding was provided by Social Sciences and Humanities Research Council.

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Authors and Affiliations

  1. Concordia University, Montreal, Canada

    Godwin Badu-Marfo & Zachary Patterson

  2. Ryerson University, Toronto, Canada

    Bilal Farooq

Authors
  1. Godwin Badu-Marfo
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  2. Bilal Farooq
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  3. Zachary Patterson
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Correspondence to Godwin Badu-Marfo.

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Badu-Marfo, G., Farooq, B. & Patterson, Z. A Perspective on the Challenges and Opportunities for Privacy-Aware Big Transportation Data. J. Big Data Anal. Transp. 1, 1–23 (2019). https://doi.org/10.1007/s42421-019-00001-z

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  • DOI: https://doi.org/10.1007/s42421-019-00001-z

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