Of your coupling approach. Furthermore, the proposed system demonstrated shorter coupling occasions. Compared with naive

Of your coupling approach. Furthermore, the proposed system demonstrated shorter coupling occasions. Compared with naive strategy 1, naive tactic two, and the unimproved PSO tactic, it decreased train operation time by 41.7 , 22.ten , and 54.85 , respectively. The proposed method also had a quicker coupled speed. Compared with naive tactic 1, naive tactic two, as well as the unimproved PSO tactic, it elevated train operation speed by four.two , six.three , and 63.08 , respectively. Future Analysis really should attempt to extend the virtual coupling optimization to a multiobject trouble. Power conservation and comfort really should be considered for better passenger expertise and environmental protection.Author Contributions: Conceptualization, Q.W. and M.C.; methodology giving, H.L.; formal analysis, T.T.; writingoriginal draft preparation, Q.W.; writingreview and editing, M.C.; information analysis, T.T.; validation, H.L. All authors have study and agreed for the published version of the manuscript. Funding: This study was funded by the Fundamental Analysis Funds for the Central Universities beneath grant 2019JBM002. Conflicts of Interest: The authors declare no conflict of interest.Actuators 2021, ten,17 of
actuatorsArticleHuman achine Cooperative Control of Intelligent Autos for Lane KeepingConsidering Security in the Intended FunctionalityMingyue Yan, Wuwei Chen , Qidong Wang, Linfeng Zhao, Xiutian Liang and Bixin CaiSchool of Automotive and Targeted traffic Engineering, Hefei University of Technologies, Hefei 230009, China; [email protected] (M.Y.); [email protected] (Q.W.); [email protected] (L.Z.); [email protected] (X.L.); [email protected] (B.C.) Correspondence: [email protected]: Yan, M.; Chen, W.; Wang, Q.; Zhao, L.; Liang, X.; Cai, B. Human achine Cooperative Manage of Intelligent Vehicles for Lane KeepingConsidering Safety from the Intended Functionality. Actuators 2021, 10, 210. https://doi.org/ 10.3390/act10090210 Academic Editors: Hai Wang, Ming Yu, Zhaowu Ping, Yongfu Li and Bin Xu Received: 30 July 2021 Accepted: 26 August 2021 Published: 28 AugustAbstract: Reasonably foreseeable misuse by persons, as a key aspect of security of your intended functionality (SOTIF), features a important impact on cooperation performance for lane keeping. This paper presents a novel human achine cooperative control scheme with consideration of SOTIF issues brought on by driver error. It can be difficult to balance lane keeping performance and driving freedom when driver error occurs. A safety evaluation strategy is proposed for safety supervision, containing assessments of driver error and lane departure danger brought on by driver error. A dynamic evaluation model of driver error is made based on a standard driver model inside the loop to cope with the uncertainty and variability of driver behavior. Also, an extension model is established for figuring out the cooperation domain. Then, an authority allocation strategy is proposed to create a dynamic shared authority and attain an CD28 Protein C-Fc sufficient balance involving lane keeping functionality and driving freedom. Finally, a model predictive control (MPC)based controller is developed for calculating optimal steering angle, and also a steerbywheel (SBW) system is employed as an actuator. Numerical simulation tests are carried out on driver error scenarios depending on the CarSim and MATLAB/Simulink software program platforms. The simulation final results demonstrate the effectiveness of the proposed technique. Search phrases: human achine cooperative.