Planning and Dynamic Management of Autonomous Modular Mobility Services

As we enter the next era of autonomous driving, robo-vehicles (which serve as low-cost and fully compliant drivers) are being used to replace conventional chauffeured services in the mobility market. During just the last few years, companies like Waymo, inc. and Cruise, inc. have already offered fully driverless robo-taxi services to the general public in cities like Phoenix and San Francisco. The rapid evolution of autonomous vehicles is anticipated to reshape the shared mobility market very soon. This project aims to address the following open questions: (1) At the operational level, how should modular units be allocated across multiple categories of customers (e.g., passenger and freight cabins), and how should they be matched in real time? How to enhance system efficiency by dynamic relocation and swap of modular chassis? (2) At the strategic or tactical level, how should the rolling stock resources (modular chassis, passenger and freight cabins) be planned, and where shall chassis swapping sites be located? How could any potential transaction cost for a chassis swap, such as the time required for a modular chassis to be assembled with a customized cabin, affect the optimal strategy and system performance? (3) How can customer priorities (e.g., passenger vs. freight) affect system performance, and how can service providers manage demand by specific pricing scheme or discriminative customer service strategies? The research team will conduct the following research tasks: (1) analytically derive systems of implicit nonlinear equations in the closed form, including a set of differential equations, to analyze the modular autonomous mobility system, and to estimate the expected system performance in the steady state; (2) conduct a series of agent-based simulation experiments to verify the accuracy of the proposed analytical formulas and to demonstrate the effectiveness of the proposed modular chassis services; (3) design policy instruments to enhance transportation system performance; (4) prepare a research report that documents the findings from the project, data, analysis methodology, case study results, and implementation recommendations.

Language

  • English

Project

  • Status: Active
  • Funding: $156740
  • 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:

    Stearns, Amy

  • Performing Organizations:

    University of Illinois, Urbana-Champaign

    Illinois Center for Transportation
    1611 Titan Drive
    Rantoul, IL  United States  61866
  • Principal Investigators:

    Ouyang, Yanfeng

  • Start Date: 20230601
  • Expected Completion Date: 20240531
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01906158
  • Record Type: Research project
  • Source Agency: Center for Connected and Automated Transportation
  • Contract Numbers: 69A3552348305
  • Files: UTC, RIP
  • Created Date: Jan 28 2024 12:40PM