Towards an Efficient Robotaxi Deployment

The commercial deployment of automated vehicles (AVs) for on-demand mobility services, referred to as robotaxis, has advanced significantly in recent years. Given the drastic changes that robotaxis might set in motion in the near future, there is a crucial need to prepare guidelines for their efficient deployment. This collaborative project aims to facilitate this effort by developing modeling tools to understand the complex interactions between the various stakeholders involved in the robotaxi’s deployment phase, including regulators, transit agencies, robotaxi operators, TNC drivers, private AV owners, and regular travelers.

Language

  • English

Project

  • Status: Active
  • Funding: $320,000.00
  • Contract Numbers:

    69A3552348305

  • 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:

    University of Michigan Transportation Research Institute

    2901 Baxter Road
    Ann Arbor, Michigan  United States  48109
  • Project Managers:

    Bezzina, Debra

    Stearns, Amy

  • Performing Organizations:

    Northwestern University, Evanston

    Transportation Center, Department of Civil and Environmental Engineering
    2145 Sheridan Road, A335
    Evanston, IL  United States  60208

    University of Michigan, Ann Arbor

    Department of Civil and Environmental Engineering
    2350 Hayward
    Ann Arbor, MI  United States  48109-2125
  • Principal Investigators:

    Bahrami, Sina

    Shen, Siqian

    Nie, Yu

    Yin, Yafeng

  • Start Date: 20251015
  • Expected Completion Date: 20261015
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01970973
  • Record Type: Research project
  • Source Agency: Center for Connected and Automated Transportation
  • Contract Numbers: 69A3552348305
  • Files: UTC, RIP
  • Created Date: Nov 13 2025 4:03PM