Automated Last Mile Connectivity for Vulnerable Road Users – Real-World Low Speed Autonomous Vehicle Deployment

An EasyMile EZ10 low speed autonomous vehicle (LSAV) was deployed on a route between the Virginia Tech Transportation Institute campus and a nearby bus transit stop to study prospective user attitudes and acceptance regarding trust in technology, system safety, and personal security. The LSAV operated on this route within normal travel lanes and interacted with mixed public traffic that included the full range of transportation users from pedestrians to heavy vehicles. The findings of this deployment work are shared in a lesson-learned format in the hope that the knowledge gained through this research and technology deployment will inform future LSAV implementations and provide insights into how automated technologies should be applied and regulated considering real-life usage aspects. This report is one of two produced for the larger study. While this report focuses on the actual deployment of the LSAV, the other focuses on vulnerable road users and their prospective use of this technology.

• Record URL:
  https://www.ncat.edu/cobe/transportation-institute/_files/catm-lastmiledeploymentfinalreport-pt2ada.pdf
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/66410
• Corporate Authors:

  Center for Advanced Transportation Mobility

  North Carolina Agricultural and Technical State University
  Greensboro, NC  United States  27411

  Virginia Tech Transportation Institute

  Blacksburg, Virginia  United States 

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Grove, Kevin
  • Alden, Andy
  • Druta, Cristian
• Publication Date: 2022-12

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Appendices; Figures; Photos; References;
• Pagination: 32p

Subject/Index Terms

• TRT Terms: Attitudes; Autonomous vehicles; Connectivity; Shuttle service; Slow moving vehicles; Vulnerable road users
• Identifier Terms: Virginia Tech Transportation Institute (VTTI)
• Geographic Terms: Virginia
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Society; Vehicles and Equipment;

Filing Info

• Accession Number: 01874957
• Record Type: Publication
• Report/Paper Numbers: CATM-2022-R8-VTTI
• Contract Numbers: 69A3551747125
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: Feb 27 2023 9:33AM