Transportation safety and mobility applications rely on time-sequenced location data, which could allow bad actors to discover an individual’s travel patterns. Simply deleting identifiers such as names and addresses from the data does not eliminate the risk that people’s identities could be inferred from their travel patterns. Such concerns lead organizations to limit data releases, thereby restricting efforts to openly share transportation data that can offer tremendous benefits.
The USDOT has developed a method to limit the risk of traveler identification using a combination of map data and information theory. The result is context-specific strategies for hiding sensitive location and route information. This approach preserves precise location data characteristics that are necessary for effective safety and mobility applications but reduces the risk of the data unintentionally revealing any individual’s travel patterns. Moreover, it ensures that data quality remains high enough to support improved transportation operations and planning.
The target audience for this webinar includes ITS Program Managers at the state and local level, agencies contemplating connected vehicle deployments, transportation agency CIOs, and anyone interested in improving transportation data availability while safeguarding privacy. Learning objectives from this webinar will include:
• Introduce time-sequenced geolocation data• Discuss potential privacy risks• Demonstrate the new method for selectively eliminating elements from geolocation data streams to limit privacy risk• Discuss initial validation testing and potential use cases for new approach
To learn more about Managing ITS Data Privacy Risk please view the fact sheet at: https://www.its.dot.gov/factsheets/pdf/Managing_ITS_DataPrivacyRisk.pdf
Date & Time:Wednesday, January 17th, 20181:00 PM - 2:00 PM ET
Presenters:Ariel Gold, Data Program Manager, U.S. Department of TransportationJason M. Carter, Ph.D., Oak Ridge National Laboratory
Please complete the information below to register for this webinar.