Reliable V2V Communication Networks: Applications in FuelEfficient Platooning

The application is multi-truck platooning - lead truck is manually driven, following ones are autonomous. Key is maintaining closer than-normal gap distance, for drafting purposes, resulting in increased fuel efficiency. Vehicle-to-vehicle (V2V) communications between the vehicles enables autonomy - V2V failure impacts autonomy. Based on data collected from recent tests, PIs have identified specific use cases where V2V fails when using DSRC. This proposal addresses two follow-on research problems – (i) the cause of DSRC failure, and (ii) the ability of CV2X to overcome such failures. Further testing is proposed along with a modeling and simulation effort to understand the failure modes. Long-standing industry partners of the PI, Ford, will be informed of the results. Proposed research leverages already funded research from DOD and DOE which is focused on the demonstration of realizable fuel efficiency in long-haul trucks.

Language

• English

Project

• Status: Completed
• Funding: $232,682 (CCAT 115,712;CoE 34,059;Ford 82,911)
• Contract Numbers:

  69A3551747105

• Sponsor Organizations:

  Department of Transportation

  Intelligent Transportation Systems Joint Program Office
  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Managing Organizations:

  Center for Connected and Automated Transportation

  University of Michigan Transportation Research Institute
  Ann Arbor, MI  United States  48109
• Project Managers:

  Tucker-Thomas, Dawn

• Performing Organizations:

  University of Michigan, Dearborn

  4901 Evergreen Road
  Dearborn, Michigan  United States  48128
• Principal Investigators:

  Lakshmanan, Sridhar

  Richardson, Paul

• Start Date: 20190501
• Expected Completion Date: 20201231
• Actual Completion Date: 20201231
• USDOT Program: University Transportation Centers Program
• Subprogram: Research
• Source Data: 10.4231/3X2D-TJ90

Subject/Index Terms

• TRT Terms: Autonomous land vehicles; Autonomous vehicles; Connected vehicles; Data collection; Dedicated short range communications; Freight cars; Vehicle to vehicle communications
• Subject Areas: Data and Information Technology; Design; Freight Transportation; Highways; Policy; Research; Transportation (General); Vehicles and Equipment;

Filing Info

• Accession Number: 01742710
• Record Type: Research project
• Source Agency: Center for Connected and Automated Transportation
• Contract Numbers: 69A3551747105
• Files: UTC, RIP
• Created Date: Jun 18 2020 10:04AM