摘要: |
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. |