AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (1.6 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Open Access

A Digital Twin and Consensus Empowered Cooperative Control Framework for Platoon-Based Autonomous Driving

School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China; and also with Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen 518110, China
College of Computer Science and Technology and also with College of Data Science, Taiyuan University of Technology, Taiyuan 030024, China
Show Author Information

Abstract

Platoon-based autonomous driving is indispensable for traffic automation, but it confronts substantial constraints in rugged terrains with unreliable links and scarce communication resources. This paper proposes a novel hierarchical Digital Twin (DT) and consensus empowered cooperative control framework for safe driving in harsh areas. Specifically, leveraging intra-platoon information exchange, one platoon-level DT is constructed on the leader and multiple vehicle-level DTs are distributed among platoon members. The leader first makes critical platoon-driving decisions based on the platoon-level DT. Then, considering the impact of unreliable links on the platoon-level DT accuracy and the consequent risk of unsafe decision-making, a distributed consensus scheme is proposed to negotiate critical decisions efficiently. Upon successful negotiation, vehicles proceed to execute critical decisions, relying on their vehicle-level DTs. Otherwise, a Space-Air-Ground-Integrated-Network (SAGIN) enabled information exchange is utilized to update the platoon-level DT for subsequent safe decision-making in scenarios with unreliable links, no roadside units, and obstructed platoons. Furthermore, based on this framework, an adaptive platooning scheme is designed to minimize total delay and ensure driving safety. Simulation results indicate that our proposed scheme improves driving safety by 21.1% and reduces total delay by 24.2% in harsh areas compared with existing approaches.

References

【1】
【1】
 
 
Tsinghua Science and Technology
Pages 1096-1111

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Cao J, Leng S, Xiong K, et al. A Digital Twin and Consensus Empowered Cooperative Control Framework for Platoon-Based Autonomous Driving. Tsinghua Science and Technology, 2025, 30(3): 1096-1111. https://doi.org/10.26599/TST.2024.9010076
Part of a topical collection:

1460

Views

71

Downloads

5

Crossref

2

Web of Science

7

Scopus

0

CSCD

Received: 15 December 2023
Revised: 08 March 2024
Accepted: 11 April 2024
Published: 30 December 2024
© The Author(s) 2025.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).