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.

University: 

Mineta Consortium for Transportation Mobility
San José State University

Principal Investigator: 

Gary Hsueh

PI Contact Information: 

Mineta Transportation Institute
San José State University
210 N. 4th St., 4th Floor
San Jose, CA 95112
garyhsueh@gmail.com

Funding Source(s) and Amounts Provided (by each agency or organization): 

U.S. Department of Transportation, Office of the Assistant Secretary for Research and Technology – $68,905

Total Project Cost: 

$68,905

Agency ID or Contract Number: 

69A3551747127

Dates: 

September 2018 to November 2019

Project Number: 

1822