Traffic Control based on CARMA Platform for Maximal Traffic Mobility and Safety
Platooning technology is a promising driving technology for Connected Automated Vehicles (CAVs) that can alleviate real road traffic issues. One primary challenge to hinder the technology development is the trade-off between safety and mobility. In this project, the research team will enhance mobility and safety by developing digital infrastructure and optimizing platooning strategies for CAVs. Activities within the proposed project will include developing mathematical models for multi-objective optimization to enhance the mobility and safety of individual vehicles and platoons. Further, exploring Transportation System Management and Operations (TSMO) applications to reduce traffic congestion by developing digital infrastructure based on the CARMA platform. Finally, by employing various experiments to evaluate and validate how and to what extent the vehicle platooning strategy can help improve the comprehensive performance (e.g. mobility, safety, etc.) of CAVs. The project enables mobility applications that are not achievable by individual ADS-operated vehicles. It will eventually help the research community to come up with models with realistic performance to further understand the CAV impacts on traffic. Additionally, the findings serve as valuable reference points for transportation agencies, enabling them to make data-driven decisions concerning infrastructure development and traffic management strategies.
Language
- English
Project
- Status: Active
- Funding: $260000
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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:
University of Wisconsin, Madison
Department of Civil and Environmental Engineering
1415 Engineering Drive
Madison, WI United States 53706 -
Principal Investigators:
Li, Xiaopeng "Shaw"
Noyce, David
- Start Date: 20240101
- Expected Completion Date: 20241231
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Congestion management systems; Connected vehicles; Mobility; Optimization; Traffic platooning; Traffic safety
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01906153
- Record Type: Research project
- Source Agency: Center for Connected and Automated Transportation
- Contract Numbers: 69A3552348305
- Files: UTC, RIP
- Created Date: Jan 28 2024 12:25PM