Road User-Automated Vehicle Expectancies, Interactions, and Safety
Automated 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 our current infrastructure and traffic systems. Human road users have certain expectancies for how other road users behave and interact accordingly. 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, i.e., expectancy violations (EVs), can incite improper responses that could have ramifications for traffic safety and operations. Obviously, significant challenges for AV technology remain in coexisting in harmony with human road users, beyond its own proper functionality. The objective of this research is to do the foundational research to prepare to study interactions between human-driven vehicles, pedestrians, and automated vehicles to elucidate potential expectancy violations and consequent impact on safety. Eventually in a later phase of the project, systematic human-in-the-loop (HIL) experiments simulating AV-HV-Pedestrian and AV-HV interactions will be conducted to probe expectancies, expectancy violations, and safety impacts.
Language
- English
Project
- Status: Active
- Funding: $150000
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Contract Numbers:
69A3552348305
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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 Michigan Transportation Research Institute
2901 Baxter Road
Ann Arbor, Michigan United States 48109 -
Project Managers:
Stearns, Amy
Bezzina, Debra
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Performing Organizations:
University of Wisconsin, Madison
Department of Civil and Environmental Engineering
1415 Engineering Drive
Madison, WI United States 53706 -
Principal Investigators:
Noyce, David
Chen, Sikai
Ahn, Soyoung
Chitturi, Madhav
- Start Date: 20240901
- Expected Completion Date: 20250831
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Connected vehicles; Drivers; Human factors engineering; Pedestrians; Traffic safety; Vehicle mix
- Subject Areas: Highways; Pedestrians and Bicyclists; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01929668
- Record Type: Research project
- Source Agency: Center for Connected and Automated Transportation
- Contract Numbers: 69A3552348305
- Files: UTC, RIP
- Created Date: Sep 5 2024 5:04PM