Improving the efficiency of trucks via CV2X connectivity on highways
We will deploy a connected smart infrastructure (CSI) on a highway in order to collect and aggregate traffic information that can be used by heavy-duty trucks traveling the corridor to improve their efficiency. The system will consist of a set of roadside units which collect traffic data via cellular vehicle-to-everything (CV2X) communication. The heavy-duty trucks will utilize the collected data when controlling their longitudinal motion in order to maximize their fuel economy without compromising their travel time.
Language
- English
Project
- Status: Active
- Funding: $500,000 (CCAT: $250,000; Cost-share: $250,000)
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Contract Numbers:
69A3551747105
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Sponsor Organizations:
Department of Transportation
Intelligent Transportation Systems Joint Program Office
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Managing Organizations:
Center for Connected and Automated Transportation
University of Michigan, Ann Arbor
Ann Arbor, MI United States 48109 -
Project Managers:
Tucker-Thomas, Dawn
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Performing Organizations:
University of Michigan, Ann Arbor
North Campus
Ann Arbor, MI United States 48109 -
Principal Investigators:
Orosz, Gabor
- Start Date: 20200501
- Expected Completion Date: 20220430
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
- Subprogram: Research
Subject/Index Terms
- TRT Terms: Autonomous land vehicles; Autonomous vehicles; Connected vehicles; Corridors; Heavy duty trucks; Infrastructure; Roadside; Travel time
- Identifier Terms: Traffic Information and Prediction System
- Subject Areas: Data and Information Technology; Policy; Research; Transportation (General); Vehicles and Equipment;
Filing Info
- Accession Number: 01742716
- Record Type: Research project
- Source Agency: Center for Connected and Automated Transportation
- Contract Numbers: 69A3551747105
- Files: UTC, RiP
- Created Date: Jun 18 2020 11:22AM