A deep reinforcement learning‐based distributed connected automated vehicle control under communication failure-Reference-Cited by-同舟云学术

A deep reinforcement learning‐based distributed connected automated vehicle control under communication failure

Published:2022-02-24 Issue:15 Volume:37 Page:2033-2051
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer aided Civil Eng

Author:

Shi Haotian¹²,Zhou Yang¹,Wang Xin³,Fu Sicheng¹,Gong Siyuan⁴,Ran Bin¹

Affiliation:

1. Department of Civil and Environmental Engineering University of Wisconsin‐Madison Madison Wisconsin USA

2. School of Mechanical Engineering Tianjin University Tianjin China

3. Department of Industrial and Systems Engineering University of Wisconsin‐Madison Madison Wisconsin USA

4. Department of Computer Science Chang'an University Xi'an China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering,Building and Construction

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12825

Reference54 articles.

1. Reducing time headway for platooning of connected vehicles via V2V communication

2. A Robust Longitudinal Control Strategy of Platoons under Model Uncertainties and Time Delays

3. Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles

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