Development and Demonstration of Merge-Assist System Using Connected Vehicle Technology

The U.S. Department of Transportation (USDOT) continues to emphasize the need for having DSRC-based vehicle-to-vehicle (V2V) and/or vehicle-to-infrastructure (V2I) communication to enhance driver safety and traffic mobility. One potential area for improvement is around merging junctions of two roadways e.g., at a freeway entrance ramp. In order to develop automated merging or a merge-assist application, acquisition of accurate relative trajectories of vehicles on the main freeway is an important milestone. Previously in our RSI project, we successfully acquired relative trajectories of vehicles travelling on multiple lanes toward a merging junction with an accuracy of +/- 0.5m using DSRC-based V2V communication and standard GPS receivers. Although the achieved accuracy in relative trajectory was sufficient to differentiate vehicles traveling on adjacent lanes of a multiple-lane freeway, the trajectories were not acquired in real time. The researchers are now aiming to acquire relative trajectories of vehicles in real time. The DSRC-equipped vehicles traveling on the freeway and on the merging ramp will periodically communicate important traffic parameters to each other such as their location, direction of travel, and speed. Using that information, the relative trajectories of all DSRC-equipped vehicles will be processed in real time after filtering out irrelevant vehicles e.g., vehicles on the crossing roads or on the main freeway in the opposite direction. Furthermore, using the acquired real-time trajectories, speed, and direction of travel of the relevant vehicles, a merge time cushion will be estimated which could potentially be used as an important parameter to develop a merge-assist application.


  • English


  • Status: Active
  • Funding: $272,697
  • Contract Numbers:



  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590

    Roadway Safety Institute

    University of Minnesota
    Minneapolis, MN  United States  55455
  • Project Managers:

    Stearns, Amy

  • Performing Organizations:

    University of Minnesota, Minneapolis

    Center for Transportation Studies
    Minneapolis, MN  United States 
  • Principal Investigators:

    Hayee, M. Imran

  • Start Date: 20140601
  • Expected Completion Date: 20180630
  • Actual Completion Date: 0
  • Source Data: RiP Project 37488

Subject/Index Terms

Filing Info

  • Accession Number: 01567219
  • Record Type: Research project
  • Source Agency: Roadway Safety Institute
  • Contract Numbers: DTRT13-G-UTC35, CTS-2015022
  • Files: UTC, RiP
  • Created Date: Jun 26 2015 1:00AM