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.
Language
- English
Project
- Status: Active
- Funding: $71053
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Contract Numbers:
69A3551747131
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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: 20240630
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Behavior; Intersections; Pedestrians; Permissive phasing; Traffic safety
- Subject Areas: Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Safety and Human Factors; Vehicles and Equipment;
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 24 2021 11:26AM