The Potential Benefits and Cost of Connected and Automated Vehicles: A Texas Case Study

Recent advances in vehicle technology has led to the emergence of connected vehicles (CV) and automated vehicles (AV). CV technology readiness currently exceeds that of fully-automated vehicles, yet with sufficient time both are expected to enter the market and convergence, bringing the connected and automated vehicle (CAV). Current research indicates that these combined technologies can bring substantial benefits to the transportation system through numerous aspects. This paper proposes a framework with which to evaluate the broad potential for human and economic impacts of CAVs on mobility, safety, and productivity and leisure at different levels of CAV market penetration, using the state of Texas as a case study. The results estimated here indicate that the greatest potential for realized CAV benefits stem from safety (57% of the total in the 90% market penetration scenario). Benefits from added productivity and leisure time also comprise a substantial portion of the total (valued at roughly $1,200 per driver annually per new CAV user). Congestion benefits are also apparent, though much smaller in magnitude. However, as market penetration increases, the proportion of congestion benefit also increases.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AHB30 Standing Committee on Vehicle-Highway Automation. Alternate title: Potential Benefits and Cost of Connected and Automated Vehicles: Texas Case Study
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Kim, Bumsik
    • Pourrahmani, Elham
    • Fagnant, Daniel J
  • Conference:
  • Date: 2017

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 16p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01626011
  • Record Type: Publication
  • Report/Paper Numbers: 17-04937
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 15 2017 5:03PM