Roadway Friction Screening and Measurement with Automated Vehicle Telematics and Control
Measuring roadway friction is crucial for roadway safety, particularly on wet surfaces and challenging road geometries. Roadway friction, influenced by pavement design, aggregate type, traffic loading, surface treatment, and weather, fluctuates over time. Traditionally, state agencies perform costly, periodic friction measurements using specialized devices and vehicles. This project introduces an advanced road friction screening system using telematics data from both regular and automated vehicles (RVs and AVs), enabling comprehensive network-level friction analysis. The system utilizes Physics-Enhanced Residual Learning (PERL) for AV control to maintain optimal slip ratios and peak Tire-Road Friction Coefficient (TRFC) values, ensuring accurate friction measurements without causing excessive sliding or tire wear. It leverages cooperative perception from connected vehicles to improve accuracy and extend coverage by mitigating sensor errors. Additionally, the system employs smart routing to optimize data collection routes for connected AVs, enhancing coverage and the efficiency of the screening process. The system's potential to improve road safety, cooperative driving automation (CDA) applications, and infrastructure management will be demonstrated through field tests with real-world scenarios in UW-Madison's Level 3 testbed and possibly later at Mcity.
Language
- English
Project
- Status: Active
- Funding: $400000
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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 53706University of Illinois, Urbana-Champaign
Illinois Center for Transportation
1611 Titan Drive
Rantoul, IL United States 61866 -
Principal Investigators:
Xiaopeng, Li
Ouyang, Yanfeng
Huang, Heye
- Start Date: 20240701
- Expected Completion Date: 20250831
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Connected vehicles; Data collection; Friction; Routing; Telematics
- Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Pavements; Vehicles and Equipment;
Filing Info
- Accession Number: 01929669
- Record Type: Research project
- Source Agency: Center for Connected and Automated Transportation
- Contract Numbers: 69A3552348305
- Files: UTC, RIP
- Created Date: Sep 5 2024 5:06PM