Quantifying Autonomous Vehicle Pedestrian Interactions at Intersections

Autonomous vehicles (AVs) have the potential to enable a safe, efficient, equitable, healthy, and sustainable transportation system and communities. However, broad public adoption of AVs is predicated on the AVs’ ability to engage in safe and efficient interactions with other road users: conventional human-driven vehicles (HVs), pedestrians, and bicyclists, in the current infrastructure and traffic systems. While humans can anticipate and handle a range of other road users’ behaviors, unexpected behaviors that fall outside or in tail end of the range, can incite improper responses that could have ramifications for traffic safety and operations. Rapid advancement and adoption of AVs raises the important question of how well AVs can respect road users’ expectancies and coexist in harmony. Most studies on AV, while pioneering, involve SAE level 2 technology and are limited in scope, focusing mainly on AV (longitudinal) behavior through limited field experiments or AV-centric naturalistic driving. Thus, the state-of-the-art does not address AV-road user interactions, especially with pedestrians. This project will study how an AV interacts with pedestrians while making permissive turns at intersections.

Project

  • Status: Inactive
  • Funding: $71053
  • Contract Numbers:

    69A3551747131

  • 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:

    University of Iowa, Iowa City

    National Advanced Driving Simulator, 2401 Oakdale Blvd
    Iowa City, IA  United States  52242-5003
  • Performing Organizations:

    University of Wisconsin, Madison

    Department of Civil and Environmental Engineering
    1415 Engineering Drive
    Madison, WI  United States  53706
  • Principal Investigators:

    Noyce, David

  • Start Date: 20210901
  • Expected Completion Date: 20220831
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01772169
  • Record Type: Research project
  • Source Agency: Safety Research Using Simulation University Transportation Center (SaferSim)
  • Contract Numbers: 69A3551747131
  • Files: UTC, RIP
  • Created Date: May 21 2021 5:58PM