National Data Fusion Project
To create a a single interface where enforcement personnel can combine data from roadside inspection stations across the country.
The National Data Fusion Center is envisioned to be a single interface that combines data from roadside inspection stations nationwide. State data systems will transfer data to a Federal system, allowing for data sharing among States.
A successful National Data Fusion Center was to provide opportunities in commercial vehicle enforcement to conduct HOS verification across jurisdictional boundaries, through the use of vehicle and driver identification and other e-screening systems. Use of the National Data Fusion Center would have involved identifying cases—through time of flight and miles traveled estimates calculated using license plate reader (LPR) data—where a driver’s record of duty status had been falsified, indicating HOS fraud. Phase 1 of the National Data Fusion Center was completed. In Phase 2, a regional system was be developed and tested in the Commercial Motor Vehicle Roadside Technology Consortium (CMVRTC). The system was to be scalable for national implementation. For the National Data Fusion Center to become successful, LPRs and U.S. Department of Transportation (USDOT) number readers needed to be accurate, data retention/specifications needed to be appropriate, and States needed to0 be able to adopt up-to-date systems to allow for the storage and transfer of the new data set.
Literature review; final report; field operational test of regional system; development of national system.
August 2015: Literature review, draft report submitted.
December 2016: Development of requirements for a national system.
March 2017: Testing of proposed system requirements.
FY 2015: $50,000
Phase 1 is complete; regional efforts being contemplated for future Innovative Technology Deployment (ITD) Program Notices of Funding Availability (NOFA).
For more information, contact Tom Kelly of the Technology Division at (202) 480-5240 or email@example.com
Oak Ridge National Laboratory
Last updated: Tuesday, December 13, 2022