A real-time deployable model predictive control-based cooperative platooning approach for connected and autonomous vehicles-Reference-Cited by-同舟云学术

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A real-time deployable model predictive control-based cooperative platooning approach for connected and autonomous vehicles

Published:2019-10 Issue: Volume:128 Page:271-301
ISSN:0191-2615
Container-title:Transportation Research Part B: Methodological
language:en
Short-container-title:Transportation Research Part B: Methodological

Author:

Wang Jian,Gong Siyuan^ORCID,Peeta Srinivas^ORCID,Lu Lili^ORCID

Funder

Center for Connected and Automated Transportation

CCAT

U.S. Department of Transportation

Natural Science Foundation of China

Ningbo University

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Civil and Structural Engineering

Reference39 articles.

1. Second order sufficient conditions and sensitivity analysis for the optimal control of a container crane under state constraints;Augustin;Optimization,2001

2. Model Predictive Control;Camacho,2013

3. Intelligent cruise control systems and traffic flow stability;Darbha;Transp. Res. Part C,1999

4. Cooperative adaptive cruise control: a reinforcement learning approach;Desjardins;IEEE Trans. Intell. Transp. Syst.,2011

5. On sensitivity in optimal control systems;Dorato;IEEE Trans. Autom. Control,1963

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