Privacy-preserving Transportation Data Analytics Using Synthetic Data Generation
The large-scale user data collection has enabled various new services to improve transportation services with crowdsourced vehicle routing applications or public transit metrics. This fine-grained collection of user data benefits society but raises privacy concerns as attackers can obtain location and trajectory data from various users. On the other hand, researchers need realistic data to perform experiments that can improve the efficiency of transportation systems; however, the sensitive nature of this data, which can include personally identifiable information, often prevents it from being openly shared or utilized for broader research and public benefit. Thus, while transportation data holds significant potential for improving infrastructure and services, privacy considerations create a barrier that must be carefully navigated. Privacy-preserving synthetic data generation represents a promising avenue for addressing the challenges of sharing transportation data. Privacy-preserving synthetic data can be engineered to retain the essential characteristics and statistical properties of the original dataset while removing or altering information that could compromise individual privacy. This approach enables researchers, policymakers, and urban planners to gain valuable insights into transportation patterns, traffic congestion, and infrastructure needs without violating individual privacy. In this way, privacy-preserving synthetic data can be a powerful tool for enhancing transportation systems while providing privacy protections. Due to the above-mentioned reasons, in this project, the research team will work on developing novel privacy-preserving synthetic transportation data generation.
Language
- English
Project
- Status: Active
- Funding: $248390
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Contract Numbers:
69A3552344812
69A3552348317
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 800 W Campbell Rd
Richardson, Texas United States 75080University of California, Santa Cruz
1156 High Street, Mail Stop SOE2
Santa Cruz, California United Kingdom 95064 1600 Harden Street
Columbia, South Carolina United States 29204 -
Managing Organizations:
National Center for Transportation Cybersecurity and Resiliency (TraCR)
Clemson University
Clemson, SC United States 800 W Campbell Rd
Richardson, Texas United States 75080 -
Project Managers:
Chowdhury, Mashrur
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Performing Organizations:
800 W Campbell Rd
Richardson, Texas United States 75080University of California, Santa Cruz
1156 High Street, Mail Stop SOE2
Santa Cruz, California United Kingdom 95064 1600 Harden Street
Columbia, South Carolina United States 29204 -
Principal Investigators:
Kantarcioglu, Murat
Cardenas, Alvaro
Khan, Latifur
Comert, Gurcan
Thuraisingham, Bhavani
- Start Date: 20240101
- Expected Completion Date: 20241231
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Data collection; Data privacy; Information processing
- Subject Areas: Data and Information Technology; Transportation (General);
Filing Info
- Accession Number: 01906984
- Record Type: Research project
- Source Agency: National Center for Transportation Cybersecurity and Resiliency (TraCR)
- Contract Numbers: 69A3552344812, 69A3552348317
- Files: UTC, RIP
- Created Date: Feb 5 2024 4:01PM