Impact Analysis of Roadway Surface and Vehicle Conditions on Fleet Formation for Connected and Automated Vehicles

Factors that largely affect rolling resistance and emergency braking distance include not only pavement friction, but also tire condition, vehicle’s braking system, and the environmental conditions. Those conditions change with road sections and may vary from one vehicle to other. Therefore, passive estimation and use of a friction coefficient for safety assessment, which have been a common practice for decades, cannot sufficiently meet the requirements of advanced transportation system today as better and more diversified services are demanded by the motorists. In particular, to take advantage of connected and automated vehicles technologies a condition-dependent, time-resolved approach for estimating driving resistance should be developed and implemented. This project proposes to study how such roadway and vehicle-based factors, when working together, can jointly affect the braking distance and influence inter-vehicle spacing and flow dynamics of a connected and automated vehicle fleet.

Language

  • English

Project

  • Status: Completed
  • Funding: $75,00 (USDOT); $75,000 (AKRON)
  • Contract Numbers:

    69A3551747105

  • 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 Akron

    College of Engineering
    Akron, OH  United States  44325
  • Principal Investigators:

    Yi, Ping

    Shajie, Ethan

  • Start Date: 20200101
  • Expected Completion Date: 20240229
  • Actual Completion Date: 20240329
  • USDOT Program: University Transportation Centers Program
  • Subprogram: Research

Subject/Index Terms

Filing Info

  • Accession Number: 01742188
  • Record Type: Research project
  • Source Agency: Center for Connected and Automated Transportation
  • Contract Numbers: 69A3551747105
  • Files: UTC, RIP
  • Created Date: Jun 10 2020 11:23AM