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.

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

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: 
Agency ID or Contract Number: 
September 2018 to September 2020
Project Number: 



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SJSU Research Foundation   210 N. 4th Street, 4th Floor, San Jose, CA 95112    Phone: 408-924-7560   Email: