Hybrid car following control for CAVs: Integrating linear feedback and deep reinforcement learning to stabilize mixed traffic-Reference-Cited by-同舟云学术

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Hybrid car following control for CAVs: Integrating linear feedback and deep reinforcement learning to stabilize mixed traffic

Published:2024-10 Issue: Volume:167 Page:104773
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Yue Ximin,Shi Haotian^ORCID,Zhou Yang^ORCID,Li Zihao^ORCID

Publisher

Elsevier BV

Reference53 articles.

1. Reducing time headway for platooning of connected vehicles via V2V communication;Bian;Transp. Res. C,2019

2. Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management;Brandi;Autom. Constr.,2022

3. The fast Fourier transform;Brigham;IEEE Spectrum,1967

4. Connected and automated vehicle distributed control for on-ramp merging scenario: A virtual rotation approach;Chen;Transp. Res. C,2021

5. Robustly string stable longitudinal control for vehicle platoons under communication failures: A generalized extended state observer-based control approach;Chen;IEEE Trans. Intell. Veh.,2022

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