Connected cruise control among human-driven vehicles: Experiment-based parameter estimation and optimal control design
In this paper, the authors consider connected cruise control design in mixed traffic flow where most vehicles are human-driven. The author sfirst propose a sweeping least square method to estimate in real time feedback gains and driver reaction time of human-driven vehicles around the connected automated vehicle. Then the authors propose an optimal connected cruise controller based on the mean dynamics of human driving behavior. The authors test the performance of both the estimation algorithm and the connected cruise control algorithm using experimental data. The authors demonstrate that by combining the proposed estimation algorithm and the optimal controller, the connected automated vehicle has significantly improved performance compared to a human-driven vehicle.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
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Supplemental Notes:
- © 2018 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Ge, Jin I
- Orosz, Gábor
- Publication Date: 2018-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 445-459
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Serial:
- Transportation Research Part C: Emerging Technologies
- Volume: 95
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0968-090X
- Serial URL: http://www.sciencedirect.com/science/journal/0968090X
Subject/Index Terms
- TRT Terms: Algorithms; Autonomous intelligent cruise control; Behavior; Design; Driving; Least squares method; Optimization
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 01680446
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 17 2018 10:32AM