Working with Autonomous Trucks to Improve Routine Maintenance Operations

Texas has become a major hub for automated trucking activities with companies operating routes daily. Quality infrastructure is essential for the safety of today’s drivers and critical to the future of a growing connected and automated vehicle (CAV) market. Data generated by these advanced vehicles can unlock significant benefits and savings—especially for routine maintenance operations. Traditional maintenance data is sparse and lacks precision, relying heavily on TxDOT personnel to conduct inspections and drivers to report issues. By partnering with automated trucking companies, TxDOT gains high-resolution, real-time data on pavement, signage and other assets that can be used to modernize routine maintenance operations. The research team will develop and test an end-to-end Intelligent Routine Maintenance Framework—from detection to resolution. Key results shall include: 1) A public-private partnership network of stakeholders who build consensus on standards and data sharing agreements. 2) An Intelligent Routine Maintenance Framework that integrates new CAV data sources, streamlines workflows, and monitors performance measures. 3) A prototype maintenance system tested with data from at least two automated trucking companies. 4) Infographics and visualization tools that communicate qualitative and quantitative project benefits. 5) A Sustainability and Growth Plan that includes complementary artificial intelligence (AI) solutions, cost-benefit analysis and procurement documents.

Language

  • English

Project

  • Status: Active
  • Funding: $324,854
  • Contract Numbers:

    0-7129

  • Sponsor Organizations:

    Texas Department of Transportation

    125 E. 11th Street
    Austin, TX  United States  78701-2483
  • Managing Organizations:

    Texas Department of Transportation

    125 E. 11th Street
    Austin, TX  United States  78701-2483
  • Project Managers:

    Steele, Joanne

  • Performing Organizations:

    Center for Transportation Research

    3925 W. Braker Lane
    Austin, TX  United States  78759
  • Principal Investigators:

    Chin, Kristie

  • Start Date: 20210901
  • Expected Completion Date: 20230831
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01782708
  • Record Type: Research project
  • Source Agency: Texas Department of Transportation
  • Contract Numbers: 0-7129
  • Files: RIP, STATEDOT
  • Created Date: Sep 23 2021 11:18AM