Insights into Equitable and Fair Congestion Pricing Strategies in a World of Shared Automated Vehicles

Shared automated vehicles (AVs) are expected to become commercially available within the next decade and hold great promise for improving traffic safety, accessibility, and energy consumption (due to improved operational efficiencies). However, shared AVs could also dramatically increase congestion, and implementing fair and equitable traffic demand management strategies will become more valuable along congested corridors in urban regions. This project develops a replicable, open, deployable model that can (1) identify areas with high concentrations of low-income or minority populations, or both within a region and (2) conduct a scenario analysis to help public agencies assess how different congestion pricing policies (e.g., facility-based tolls vs. mileage-based tolls) could affect energy use, mode choice, AV operator profit, and mobility across different population groups.

Language

  • English

Project

  • Status: Active
  • Funding: $200000
  • Contract Numbers:

    69A3551747111

  • Sponsor Organizations:

    Carnegie Mellon University

    Mobility21 National USDOT UTC for Mobility of Goods and People
    Pittsburgh, PA  United States  15213

    Office of the Assistant Secretary for Research and Technology

    University Transportation Center Program
    ,    
  • Managing Organizations:

    Carnegie Mellon University

    Mobility21 National USDOT UTC for Mobility of Goods and People
    Pittsburgh, PA  United States  15213
  • Project Managers:

    Kline, Robin

  • Performing Organizations:

    Carnegie Mellon University

    ,    
  • Principal Investigators:

    Harper, Corey

  • Start Date: 20220701
  • Expected Completion Date: 20230630
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01848341
  • Record Type: Research project
  • Source Agency: National University Transportation Center for Improving Mobility (Mobility21)
  • Contract Numbers: 69A3551747111
  • Files: UTC, RIP
  • Created Date: Jun 10 2022 12:53PM