Applications of Connected Vehicle Trajectory Data in Transportation Operation Management: A Case Study in the State of Delaware

In this study, Connected Vehicle Trajectory (CVT) data has been utilized for the purpose of transportation operations management. To achieve this goal, seven days of CVT data was procured from a third-party provider, Wejo. At first, the authors validated the data and found that the update frequency between two waypoints within a trip is less than 3 seconds 96% of the time. The penetration level of CVT was measured at nine different locations in both urban and rural regions. The average penetration level ranged from 3.44% to 7.33%. At seven out of the nine locations, the penetration levels at midnight hours (11 PM to 3 AM) were less than 3%. After 3AM, the penetration level increased significantly and maintained at around 5% until the PM hours (after 5 PM). This paper also investigated how CVT data is being integrated with the Delaware Department of Transportation's latest traffic management software AI-TOMS(AI-enabled Transportation Operations Management System). AI-TOMS's CVT-enabled applications, including vehicle trajectory visualization, vehicle turning movement identification with unsupervised machine learning, early incident detection, and offset optimization using time-space diagrams, were also demonstrated in this study.


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; Photos; References; Tables;
  • Pagination: 21p

Subject/Index Terms

Filing Info

  • Accession Number: 01872475
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-23-04071
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 3 2023 11:39AM