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.

• Record URL:
  https://fdotwww.blob.core.windows.net/sitefinity/docs/default-source/research/reports/fdot-bdv29-977-21-rpt.pdf
• 
• Summary URL:
  https://fdotwww.blob.core.windows.net/sitefinity/docs/default-source/research/reports/fdot-bdv29-977-21-sum.pdf
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/35836
• Corporate Authors:

  Lehman Center for Transportation Research

  10555 W Flagler Street
  Miami, FL  United States  33174

  Southwest Research Institute

  6220 Culebra Road
  San Antonio, TX  United States  78238

  Florida Department of Transportation

  Office of Research and Development, 605 Suwannee Street, MS 30
  Tallahassee, FL  United States  32399-0450
• Authors:
  • Hadi, Mohammed
  • Iqbal, Shahadat
  • Khazraeian, Samaneh
  • Sturgeon II, Purser
• Publication Date: 2017-9

Language

• English

Media Info

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

Subject/Index Terms

• TRT Terms: Connected vehicles; Decision making; Decision support systems; Highway traffic control; Intelligent vehicles; Mobile communication systems; Performance measurement; Traffic data; Travel time; Vehicle to infrastructure communications
• Geographic Terms: Florida
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01665001
• Record Type: Publication
• Contract Numbers: BDV29-977-21
• Files: NTL, TRIS, ATRI, STATEDOT
• Created Date: Mar 30 2018 4:31PM