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Multi-entity co-simulation of intelligent vehicle based on distributed message-oriented middleware 认领 引用
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作者 Liping Peng Rongrong Deng +3 位作者 Xiaoyan Li Aiyan Yang Lei Li Yanpeng Wei 《Journal of Highway and Transportation Research and Development(English Edition)》 2025年第1期1-6,共6页
With the integration of cutting-edge technologies such as information communication,the internet,big data,cloud computing,and artificial intelligence into intelligent vehicles,the scale and complexity of their cyber-p... With the integration of cutting-edge technologies such as information communication,the internet,big data,cloud computing,and artificial intelligence into intelligent vehicles,the scale and complexity of their cyber-physical subsystems have been steadily increasing.In response to the growing demands for high concurrent access and efficient operation within the multiple entities of information system modeling and simulation,this study introduces a novel method for multi-entity co-simulation of intelligent vehicles,grounded in distributed messageoriented middleware.Tailored for the unique challenges of multi-entity co-simulation scenarios,the proposed method involves classifying heterogeneous simulation platforms and developing distinct implementation modes for message middleware interface units corresponding to each platform type.This approach significantly enhances the efficiency of multi-entity co-simulation in intelligent vehicle systems,facilitating more effective integration and operation of diverse subsystems. 展开更多
关键词 Automotive engineering Intelligent vehicle Cyber-physical system Heterogeneous simulation platforms Multi-entity co-simulation Distributed message-oriented middleware
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Role-based Bayesian decision framework for autonomous unmanned systems 认领 引用 被引量：5
2
作者 PANG Weijian MA Xinyi +2 位作者 LIANG Xueming LIU Xiaogang DONG Erwa 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2023年第6期1397-1408,共12页
In the process of performing a task,autonomous unmanned systems face the problem of scene changing,which requires the ability of real-time decision-making under dynamically changing scenes.Therefore,taking the unmanne... In the process of performing a task,autonomous unmanned systems face the problem of scene changing,which requires the ability of real-time decision-making under dynamically changing scenes.Therefore,taking the unmanned system coordinative region control operation as an example,this paper combines knowledge representation with probabilistic decisionmaking and proposes a role-based Bayesian decision model for autonomous unmanned systems that integrates scene cognition and individual preferences.Firstly,according to utility value decision theory,the role-based utility value decision model is proposed to realize task coordination according to the preference of the role that individual is assigned.Then,multi-entity Bayesian network is introduced for situation assessment,by which scenes and their uncertainty related to the operation are semantically described,so that the unmanned systems can conduct situation awareness in a set of scenes with uncertainty.Finally,the effectiveness of the proposed method is verified in a virtual task scenario.This research has important reference value for realizing scene cognition,improving cooperative decision-making ability under dynamic scenes,and achieving swarm level autonomy of unmanned systems. 展开更多
关键词 autonomous unmanned systems multi-entity Bayesian network(MEBN) situation awareness decision modeling.
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