Estimating Impacts of Automated Shuttles

Despite growing interest in the low-speed automated shuttle concept, pilot deployments have only just begun in a few places in the U.S., and there is a lack of studies that estimate the societal impacts of a widespread deployment of automated shuttles that are designed to supplement existing transit networks. This project will estimate the potential impacts of automated shuttles based on a deployment scenario generated for a sample geographic area—Santa Clara County, California. Metrics are anticipated to address safety; accessibility, equity; energy, air quality, noise; vehicle miles traveled, passenger miles traveled, vehicle occupancy. The project will: identify sample deployment markets within Santa Clara County using a GIS screening exercise; test the mode share changes of an automated shuttle deployment scenario using BEAM, an open-source travel demand model developed at the Lawrence Berkeley National Laboratory; and report the societal impacts based on the model outputs.

Language

• English

Project

• Status: Active
• Funding: $68905
• Contract Numbers:

  69A3551747127

• 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:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Project Managers:

  Stearns, Amy

• Performing Organizations:

  Mineta Consortium for Transportation Mobility

  San Jose State University
  San Jose, CA  United States  95112
• Principal Investigators:

  Hsueh, Gary

• Start Date: 20180901
• Expected Completion Date: 20191130
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Forecasting; Geographic information systems; Impacts; Implementation; Intelligent vehicles; Metrics (Quantitative assessment); Modal shift; Shuttle buses; Travel demand
• Geographic Terms: Santa Clara (California)
• Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01682044
• Record Type: Research project
• Source Agency: Mineta Consortium for Transportation Mobility
• Contract Numbers: 69A3551747127
• Files: UTC, RiP
• Created Date: Sep 26 2018 7:39PM