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

IF 6.6 1区 计算机科学 Q1 Multidisciplinary
Jiayu Cao;Supeng Leng;Kai Xiong;Xiaosha Chen
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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.
基于队列自动驾驶的数字孪生和共识授权协同控制框架
基于队列的自动驾驶是交通自动化不可或缺的一部分,但在崎岖的地形、不可靠的链路和稀缺的通信资源中,它面临着很大的限制。本文提出了一种新的分层数字孪生(DT)和共识授权的协同控制框架,用于恶劣地区的安全驾驶。具体而言,利用排内信息交换,在队长身上构建一个排级DT,在排成员之间分布多个车级DT。领导者首先根据排级DT做出关键的排驾驶决策。然后,考虑到不可靠链路对排级DT精度的影响以及由此带来的不安全决策风险,提出了一种分布式共识方案来有效地协商关键决策。在谈判成功后,车辆依靠其车辆级的DTs继续执行关键决策。此外,利用空间-空气-地面集成网络(SAGIN)支持的信息交换来更新排级DT,以便在链路不可靠、没有路边单位和队列受阻的情况下进行后续安全决策。在此基础上,设计了一种自适应排队方案,以最小化总延迟,保证行车安全。仿真结果表明,与现有方法相比,该方案在恶劣区域的驾驶安全性提高了21.1%,总延迟减少了24.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Tsinghua Science and Technology
Tsinghua Science and Technology COMPUTER SCIENCE, INFORMATION SYSTEMSCOMPU-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
10.20
自引率
10.60%
发文量
2340
期刊介绍: Tsinghua Science and Technology (Tsinghua Sci Technol) started publication in 1996. It is an international academic journal sponsored by Tsinghua University and is published bimonthly. This journal aims at presenting the up-to-date scientific achievements in computer science, electronic engineering, and other IT fields. Contributions all over the world are welcome.
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