Parallel Distributed Cooperative Control of Multiple Vehicles with Low Communication Traffic-Reference-Cited by-同舟云学术

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Parallel Distributed Cooperative Control of Multiple Vehicles with Low Communication Traffic

Published:2023-10-27 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 7th CAA International Conference on Vehicular Control and Intelligence (CVCI)
language:
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Author:

Jie Ma¹,Sichao Tang²,Feng Gao²,Yuan Liping³

Affiliation:

1. Chongqing University,State Key Laboratory of Automotive Safety and Energy College of Mechanical and Vechile Engineering,Chongqing,China

2. Chongqing University,College of Mechanical and Vechile Engineering,Chongqing,China

3. Changan Automobile Co. Ltd.,Procurement Center,Chongqing,China

Funder

State Key Laboratory of Automotive Safety and Energy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10392285/10397090/10397216.pdf?arnumber=10397216

Reference23 articles.

1. Influence of connected and autonomous vehicles on traffic flow stability and throughput

2. What we know and do not know about connected and autonomous vehicles

3. Using Artificial Potential Field Theory for a Cooperative Control Model in a Connected and Automated Vehicles Environment

4. Cooperative decision-making for mixed traffic: A ramp merging example

5. Distributed Cooperative Reinforcement Learning-Based Traffic Signal Control That Integrates V2X Networks’ Dynamic Clustering

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