Cooperative control mechanism for platoon formation of connected and autonomous vehicles - Phase 1 and 2
Connected and autonomous vehicles (CAVs) have the potential to significantly improve traffic safety and mobility through platoon formation whereby vehicles follow one another closely. Such platoons also may reduce energy consumption of individual CAVs by reducing air drag. While control mechanisms have been previously proposed to control vehicles in a platoon, for example, through adaptive cruise control, they mainly focus on seeking a better situation for an individual vehicle by controlling its driving behavior. This study focuses on CAV-based control mechanisms to holistically determine the acceleration/deceleration rate of each CAV in a platoon to maximize platoon performance. It designs several robust control mechanisms to coordinate the behaviors of CAVs in a platoon to ensure safe and efficient maneuver of CAV platoon by addressing several realistic challenges such as the unreliable vehicle-to-vehicle communication (i.e., packet loss) and uncertainty of leading vehicle’s future behavior. The impact of information delay and topology of information that is exchanged among vehicles on platoon dynamics will be analyzed. The optimal time headway and platoon size to maximize fuel efficiency of the CAVs in the platoon will be determined. Furthermore, this project will develop control mechanisms for platoon of connected and autonomous vehicles to coordinate the behavior of all following vehicles in the platoon to improve safety, mobility, and energy consumption.
- Record URL:
Language
- English
Project
- Status: Completed
- Funding: $Total: $278,518 ($140,00 CQUPT CS) ($138,518 CCAT)
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Contract Numbers:
69A3551747105
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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:
Center for Connected and Automated Transportation
University of Michigan Transportation Research Institute
Ann Arbor, MI United States 48109 -
Project Managers:
Tucker-Thomas, Dawn
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Performing Organizations:
Purdue University, Lyles School of Civil Engineering
550 Stadium Mall Drive
West Lafayette, IN United States 47907 Chongqing, China -
Principal Investigators:
Peeta, Srinivas
Li, Yongfu
- Start Date: 20180101
- Expected Completion Date: 20220930
- Actual Completion Date: 20210414
- USDOT Program: University Transportation Centers Program
- Subprogram: Research
Subject/Index Terms
- TRT Terms: Acceleration (Mechanics); Adaptive control; Deceleration; Fuel consumption; Mobile communication systems; Optimization; Topology; Traffic platooning; Vehicle to vehicle communications
- Subject Areas: Data and Information Technology; Energy; Operations and Traffic Management; Research; Vehicles and Equipment;
Filing Info
- Accession Number: 01666040
- Record Type: Research project
- Source Agency: Center for Connected and Automated Transportation
- Contract Numbers: 69A3551747105
- Files: UTC, RIP
- Created Date: Apr 13 2018 2:43PM