Safe Control Technologies for Autonomous Vehicle Platoons

The student funded by Safe-D is responsible for knowledge transfer of the current control algorithm from the vendor, coding that algorithm into an new model-based software architecture, and simulation-based software verification for the baseline and future algorithm iterations. This is a key component of an R&D path to utilize a simulation-based software development approach that improves efficiency by reducing time, complexity, risks, uncertainty and costs associated with testing highly dynamic, failure mode and crash-imminent platooning scenarios. This student is supporting TxDOT project 0-6836 Commercial Truck Platooning: Commercial Truck Platooning will perform the most practical commercial vehicle platooning effort in the U.S. Existing studies indicate platooning offers major safety and fuel saving benefits that are two critical issues for fleet operators. Truck Platooning, defined as electronically coupling two or more trucks (or vehicles) where the following truck longitudinal and lateral functions are automated to mimic the leading truck while maintain a tight distance. Texas is one of the key trucking hubs in the national supply chain, making it a perfect test bed for developing and implementing this technology. The Performing Agency or "Research Team" offers significant expertise and experience in truck automation.

    Project

    • Status: Active
    • Contract Numbers:

      69A3551747115

    • Sponsor Organizations:

      Office of the Assistant Secretary for Research and Technology

      University Transportation Centers Program
      Department of Transportation
      Washington, DC  United States  20590
    • Managing Organizations:

      Safety through Disruption University Transportation Center

      Virginia Tech Transportation Institute
      Blacksburg, VA  United States  24060
    • Project Managers:

      Harwood, Leslie

    • Performing Organizations:

      Texas A&M Transportation Institute

      Texas A&M University System
      3135 TAMU
      College Station, TX  United States  77843-3135
    • Principal Investigators:

      Lukuc, Mike

    • Start Date: 20170101
    • Expected Completion Date: 20171231
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers Program

    Subject/Index Terms

    Filing Info

    • Accession Number: 01658904
    • Record Type: Research project
    • Source Agency: Safety through Disruption University Transportation Center
    • Contract Numbers: 69A3551747115
    • Files: UTC, RiP
    • Created Date: Feb 2 2018 6:32PM