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
  • Contract Numbers:

    69A3552344812

    69A3552348317

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590

    University of Texas at Dallas

    800 W Campbell Rd
    Richardson, Texas  United States  75080

    University of California, Santa Cruz

    1156 High Street, Mail Stop SOE2
    Santa Cruz, California  United Kingdom  95064

    Benedict College

    1600 Harden Street
    Columbia, South Carolina  United States  29204
  • Managing Organizations:

    National Center for Transportation Cybersecurity and Resiliency

    1 Research Dr
    Greenville, South Carolina  United States  29607

    University of Texas at Dallas

    800 W Campbell Rd
    Richardson, Texas  United States  75080
  • Project Managers:

    Chowdhury, Mashrur

  • Performing Organizations:

    University of Texas at Dallas

    800 W Campbell Rd
    Richardson, Texas  United States  75080

    University of California, Santa Cruz

    1156 High Street, Mail Stop SOE2
    Santa Cruz, California  United Kingdom  95064

    Benedict College

    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

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