Utilization of Connected Vehicle Data to Support Traffic Management Decisions

Given the accelerated advancements in connected vehicles (CV), there is a need for the Florida Department of Transportation (FDOT) to start preparing for the next generation of advanced traffic management strategies that utilize connected-vehicle-to-infrastructure (V2I) technologies. This project investigated the utilization of data from connected vehicle technologies in support of SunGuide traffic management center operations. An assessment of the data that are currently available and are expected to be available from connected vehicles was first conducted. Nine SunGuide functions that make use of field data and can possibly be supported by connected vehicle data were reviewed, and discussions are provided on how connected vehicle data can be used to support these SunGuide modules. This project then demonstrated the used of connected vehicle data in supporting traffic management center processes by utilizing combinations of the collected data from onboard units and emulated CV data based on real-world vehicle trajectories, as well as microscopic simulation. The examined methods and applications included the prediction of future year link level CV proportions, the benefits of queue warning in a CV environment based on surrogate safety measures, and the time lines when the CV technology can provide sufficient data quality to replace existing data acquisition systems in terms of travel time estimation, incident detection, and traffic volume estimation. As part of the project, a field test was conducted by installing cell-based CV technologies in the service patrols of the Florida Department of Transportation (FDOT District 5). CV data were collected, transferred in real-time to a central server, processed, and used in an analysis of mobility measures of a roadway section along the I-4 in Central Florida.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Appendices; Figures; References; Tables;
  • Pagination: 199p

Subject/Index Terms

Filing Info

  • Accession Number: 01665001
  • Record Type: Publication
  • Contract Numbers: BDV29-977-21
  • Files: NTL, TRIS, ATRI, STATEDOT
  • Created Date: Mar 23 2018 12:00PM