ITS Personal Data Needs: How Much Do We Really Need to Know?
2012-07
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ITS Personal Data Needs: How Much Do We Really Need to Know?
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2012-07
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Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota
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Report
Abstract
The recent spread of geolocation technology in intelligent transportation systems (ITS) raises difficult and
important policy questions about locational privacy. However, much of the current public discussion on locational
privacy and ITS appears at risk of becoming increasingly disconnected. In one camp are privacy advocates and
others who oppose the spread of ITS locational technology on privacy grounds. In the other camp are technologists
and the ITS industry who generally view privacy issues as a secondary matter. The net result is that the ITS
privacy debate often involves two sides talking past each other, with too little energy spent on finding potential
common ground. This disconnect in part results from a lack of basic clarity, on both sides, about just what the
needs and interests of those involved in the ITS privacy issue are and how they relate to the betterment of the
transportation system. This report sheds new light on the ITS privacy debate by identifying just who is involved in
the ITS privacy problem and what their goals are with respect to privacy and ITS data. The analysis identifies the
types of locational data and the methods for obtaining it that create privacy conflicts and, in turn, recommends
general approaches for both policymakers and industry practitioners to better manage these conflicts. The report
represents a first effort in mapping the interests of participants in the ITS privacy debate.
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Humphrey School of Public Affairs, University of Minnesota; Law School, University of Minnesota; Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota
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Douma, Frank; Garry, Thomas; Simon, Stephen. (2012). ITS Personal Data Needs: How Much Do We Really Need to Know?. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/146948.
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