Transit Demand and Routing after Autonomous Vehicle Availability

Autonomous vehicles (AVs) create the potential for improvements in traffic operations as well as new behaviors for travelers such as car sharing among trips through driverless repositioning. Most studies on AVs have focused on technology or traffic operations, and the impact of AVs on planning is currently unknown. Development of a planning model integrating AV improvements to traffic operations and the impact of new traveler behavior options will soon be of practical interest as AVs are currently test-driven on public roads. The altered traveler preferences may affect mode choice, leading to changes in transit demand and transit provider cost. An analysis of the model on metropolitan planning data will provide predictions on the impact of general AV ownership on network conditions.


    • English


    • Status: Completed
    • Funding: $33000
    • 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
    • Project Managers:

      Bhat, Chandra

    • Performing Organizations:

      Data-Supported Transportation Operations and Planning Center

      University of Texas at Austin
      Austin, TX  United States  78701
    • Principal Investigators:

      Boyles, Stephen

    • Start Date: 20140101
    • Expected Completion Date: 20151231
    • Actual Completion Date: 20151231
    • Source Data: 104

    Subject/Index Terms

    Filing Info

    • Accession Number: 01579955
    • Record Type: Research project
    • Source Agency: Data-Supported Transportation Operations and Planning Center
    • Contract Numbers: DTRT13-G-UTC58
    • Files: UTC, RIP
    • Created Date: Oct 29 2015 9:49AM