Operations of Connected and Autonomous Freight Trucks under Congestion and Infrastructure Cost Considerations

This proposal aims at developing an integrated connected and autonomous truck routing model that simultaneously considers interdependency between traffic lane/”track” use, platooning, and pavement deterioration and rehabilitation, such that the total life-cycle societal costs due to infrastructure investment, traffic delay, and pavement life-cycle costs are minimized. The outcome of the study will be a recommendation about how to implement active sensors such as radio frequency identification (RFID) and multi-functional piezoelectric sensors into existing roadways and to assess long-term durability. The outcome of the study will help achieve near-zero maintenance during service life and resilience over a range of extreme weather conditions during day and night. Successful implementation would optimize lane use of heavy trucks over the planning horizon, such that the deterioration process of pavements can be decelerated. In addition, the investigation of the wheel wander of trucks following each other in way that damage accumulation is uniformly distributed over a lane will allow healing of the pavement and alternate compression/tension of loaded points and, therefore, excessive damage accumulation on a specific point(s) over a lane will be better controlled and pavement service life will be prolonged. When implemented, the research would result in guiding vehicles in a way that their tires would pass over existing cracks at the pavement surface, so that while crack development at the pavement surface is controlled by minimizing the tension strain/stresses applied on the cracks, transverse compressive strains/stresses can potentially minimize the width of the cracks.


  • English


  • Status: Completed
  • Funding: $232060 (USDOT); 232060 (UIUC)
  • Contract Numbers:


  • 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:

    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 Illinois, Urbana-Champaign

    Department of Civil Engineering, 201 Engineering Hall
    Urbana, IL  United States  61801
  • Principal Investigators:

    Al-Qadi, Amad

    Meidani, Hadi

    Ouyang, Yanfeng

    Ozer, Hasan

    Roesler, Jeffrey

  • Start Date: 20171101
  • Expected Completion Date: 20220930
  • Actual Completion Date: 20180928
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01645399
  • Record Type: Research project
  • Source Agency: Center for Connected and Automated Transportation
  • Contract Numbers: 69A3551747105
  • Files: UTC, RIP
  • Created Date: Aug 31 2017 3:21PM