Lessons from High-speed Level-5 AV Racing
The research is using Purdue’s Dallara, a Level 5 autonomous vehicle (AV) worth $1M, to identify lessons from the racing competitions that can be applied to facilitate safe AV operations at high-speed road corridors such as freeways. These lessons will be drawn from areas including issues related to sim-to-real transitions of the AV control, cyber-infrastructure design, and policy, fine-tuning of control algorithms for vehicle stabilization, and design of optimal trajectories at banked sections. The research is using literature reviews, surveys, simulations and theoretical analysis, AV runs at racetracks and road courses, and empirical analysis of data from AV runs at Putnam Park and Lucas Oil Raceway in Indy.
Language
- English
Project
- Status: Active
- Funding: $60000
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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
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Performing Organizations:
Purdue University, Lyles School of Civil Engineering
550 Stadium Mall Drive
West Lafayette, IN United States 47907 -
Principal Investigators:
Labi, Samuel
- Start Date: 20240601
- Expected Completion Date: 20250531
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Lessons learned; Level 5 driving automation; Racing; Vehicle safety
- Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01929642
- Record Type: Research project
- Source Agency: Center for Connected and Automated Transportation
- Contract Numbers: 69A3552348305
- Files: UTC, RIP
- Created Date: Sep 5 2024 11:09AM