Online Program Home
My Program

Abstract Details

Activity Number: 612 - Privacy Protections for Transportation Data in the Big Data Environment
Type: Topic Contributed
Date/Time: Thursday, August 2, 2018 : 8:30 AM to 10:20 AM
Sponsor: Committee on Privacy and Confidentiality
Abstract #329610
Title: SHRP 2 Naturalistic Driving Study Data: Potential Framework for Participant Disclosure Risk Assessment and Management
Author(s): Christian Richard* and Filmon Habtemichael and James Brown
Companies: Battelle and Battelle and Battelle
Keywords: Naturalistic Data; Driving Data; Privacy Protection; Personally identifiable information
Abstract:

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.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2018 program