文献类型：期刊文献

英文题名：Dynamic Splitting and Merging Control Strategy for Vehicle Platoon Based on Trust Evaluation in a Zero-Trust Environment

作者：Huang, Darong[1,2,3];Zhu, Ling[3];Zhang, Zhenyuan[3];Na, Yuhong[4];Li, Zhongmei[5];Fang, Xin[6]

机构：[1]Anhui Univ, Engn Res Ctr Autonomous Unmanned Syst Technol, Anhui Prov Engn Res Ctr Unmanned Syst & Intelligen, Minist Educ, Hefei 230601, Peoples R China;[2]Anhui Univ, Sch Artificial Intelligence, Hefei 230601, Peoples R China;[3]Chongqing Jiaotong Univ, Sch Informat Sci & Engn, Chongqing 400074, Peoples R China;[4]Anhui Univ, Sch Artificial Intelligence, Hefei 230601, Peoples R China;[5]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[6]Southwest Petr Univ, Sch Mech & Elect Engn, Chengdu 610500, Sichuan, Peoples R China

年份：2025

卷号：22

起止页码：12693

外文期刊名：IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING

收录：;EI(收录号：20250917977695);WOS:【SCI-EXPANDED(收录号:WOS:001470397200015)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 62273065, Grant 62003064, and Grant 62303004; in part by the Natural Science Foundation of Chongqing of China under Grant cstc2020jcyjmsxmX0797; and in part by the Open Research Project of the State Key Laboratory of Industrial Control Technology, China under Grant ICT2024B52.

语种：英文

外文关键词：Vehicle dynamics; Security; Connected vehicles; Topology; Merging; Uncertainty; Network topology; Delays; Autonomous vehicles; Switches; platoon maneuver; zero-trust architecture; node trust evaluation; splitting-merging strategy

摘要：Most of the past research on platooning control has not considered the impact of changes in the level of trust between vehicles in the platoon on the platoon control, and the communication process between connected vehicles is often subjected to malicious attacks such as time delays or interruptions, as well as tampering with status information, and the level of trust between vehicles changes, which affects the cooperative behaviors such as driving styles and inter-vehicle interval strategies. Changes in the level of trust between vehicles can affect the control process strategy of the vehicle, such as where the spacing strategy changes, thereby affecting the inputs to the controller, which in turn affects the outputs of the controller, and ultimately affects changes in the driving style of the vehicle, so considering the level of trust between vehicles in vehicle platoon control is critical to the safe operation of the vehicle platoon. To address this challenge, this paper proposes a dynamic splitting and merging control strategy for vehicle platoons based on the trust evaluation of vehicle nodes. Firstly, trust is evaluated using the Certainty Factor (C-F) uncertain reasoning model, which is a process that starts from initial evidence of uncertainty and derives reasonable conclusions with a certain degree of uncertainty by utilizing the uncertainty of evidence. An autoregressive model predicts short-term vehicle trajectories, and multi-source information from communication and perception is compared to determine vehicle node trust. Utilizing Bayesian reasoning methods, the trust level of vehicle nodes is updated. Based on traditional platoon control and trust evaluation, a software-level dynamic splitting and merging strategy is proposed to enhance resilience against unknown disturbances in a zero-trust environment. Finally, the system's internal and string stability are analyzed, and the scheme's effectiveness is validated through simulations.