Ninety-four percent (94 percent) of motor carrier companies surveyed say that electronic credentialing is more convenient, 80 percent saw savings in staff labor time, and 58 percent achieved costs savings over manual methods.

Evaluation of CVISN technologies in the United States

Date Posted

Evaluation of the National CVISN Deployment Program: Volume 1 Final Report

Summary Information

This source report evaluated the deployment of Commercial Vehicle Information Systems and Networks (CVISN) used to support commercial vehicle operations. A motor carrier survey, cost analysis, safety analysis, and benefit-to-cost analysis were conducted to evaluate the safety, efficiency, and economic impacts of core CVISN technologies. At the time of the evaluation (October 2008) core CVISN technologies including electronic credentialing (EC), safety information exchange (SIE), and electronic screening (ES) were operational or being implemented in 45 states.

Electronic credentialing

Approximately 13 percent of motor carriers (representing nearly 46 percent of power units) reported using electronic credentialing within 12 months of the survey. The top three reasons being: convenience of obtaining credentials, potential staff time savings, and benefits of moving trucks into service more quickly. Survey responses indicated that
  • 94 percent of users found electronic credentialing more convenient.
  • 80 percent realized savings in staff-time worked.
  • 58 percent achieved cost savings.
Privacy and security issues were chief concerns for survey respondents that did not take part in electronic credentialing. Lack of in-house technology, resources, and available staff also inhibited participation.


In August 2006, benefits/lessons learned self-evaluation reports were collected from 20 to 30 states participating in CVISN. The following qualitative benefits were identified for electronic credentialing.
  • Time savings and improvements in efficiency for states.
  • More convenience; less time-consuming for motor carriers.
  • Improved data quality.
  • Reduced labor/workload.
Deployment Locations