Abstract:
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The second Strategic Highway Research Program (SHRP2) collected driver performance and in-vehicle data from over 3900 volunteers at 6 US sites. The resulting safety database contains 5.5 million driving trips covering over 30 million miles. The research objective was to analyze specific SHRP2 datasets to understand privacy risks arising from unique aspects of naturalistic driving data; specifically, detailed information about participants and their driving behaviors. This includes crash information that may appear in public records, 1-Hz vehicle speed data covering participants' trips over the course of 1-2 years, and aggregated GPS information about trip routes. An existing data privacy framework developed by NIST (2015) provided a useful approach for assessing privacy risks for each dataset. The research also identified established technical approaches for quantifying risk and utility, transforming data sets, and evaluating the risk/utility tradeoff that could be applied to dataset development. However, the main conclusion was that potential disclosure risks remain high, and administrative access controls are the only approaches that currently provide adequate privacy protection.
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