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

Details

• Creators:
  Grove, Kevin ; Alden, Andy ; Druta, Cristian
• Corporate Creators:
  Virginia Tech Transportation Institute ; Center for Advanced Transportation Mobility, North Carolina A&T State University
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Aged
  • Attitudes
  • Autonomous vehicles
  • Shuttle service
  • Surveys
  • Vulnerable road users
  • Paratransit vehicles
  • Elderly
  • Low Speed Autonomous Vehicles
  • Last mile
• Publication/ Report Number:
  CATM-2022-R8-VTTI
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Virginia
• Edition:
  Final Report Jan. 2017– Dec. 2022
• Corporate Publisher:
  North Carolina A&T Sate University. Transportation Institute. Center For Advanced Transportation Mobility
• Abstract:
  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.
• Format:
  PDF
• Funding:
  69A3551747125
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/66410/dot_66410_DS1.pdf
• File Type:
  [PDF - 1.69 MB]
• Collection(s):
  Autonomous Vehicles ; University Transportation Centers
• Main Document Checksum:
  urn:sha-512:6de1417915e7ea7427470cbbeac508b142aeeb63c2a8faafc5f249c2984aec9ff1a5c33eef34c5cc73c2608e547e68434b241d7c7ade0e77341f0afcc9c6d8f3