Development and Testing of Optimized Autonomous and Connected Vehicle Trajectories at Signalized Intersections

The main objective of this project is to refine an existing optimization algorithm and develop and test the necessary software and hardware for enhancing traffic signal control operations simultaneously with vehicle trajectories, when the traffic stream consists of connected vehicles, autonomous vehicles, as well as conventional vehicles (i.e., with no operating connectivity or automation.) The algorithm is capable of optimizing simultaneously vehicle trajectories of automated vehicles together with the signal control patterns at the intersection. The research team will implement the optimization algorithm at the Florida Department of Transportation's (FDOT's) TERL laboratory facilities, which include a signalized intersection in a closed course environment. There is no expectation of TERL (Traffic Engineering Research Laboratory) staff assistance in the installation and operation of test equipment, beyond typical coordination and review needs.


    • English


    • Status: Active
    • Contract Numbers:

      BDV31 977-45

    • Sponsor Organizations:

      Florida Department of Transportation

      605 Suwannee Street
      Tallahassee, FL  United States  32399-0450
    • Project Managers:

      El-Urfali, Alan

    • Performing Organizations:

      University of Florida, Gainesville

      Department of Civil and Costal Engineering
      365 Weil Hall, P.O. Box 116580
      Gainesville, FL  United States  32611
    • Principal Investigators:

      Ranka, Sanjay

      Crane, Carl

      Elefteriadou, Ageliki (Lily)

    • Start Date: 20150615
    • Expected Completion Date: 0
    • Actual Completion Date: 20171231
    • Source Data: RiP Project 39802

    Subject/Index Terms

    Filing Info

    • Accession Number: 01566663
    • Record Type: Research project
    • Source Agency: Florida Department of Transportation
    • Contract Numbers: BDV31 977-45
    • Files: RiP, STATEDOT
    • Created Date: Jun 19 2015 1:00AM