RITS列车组队运行模式研究

Yangdong Ye, Zundong Zhang, L. Jia, H. Dai
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引用次数: 0

摘要

本文针对铁路智能交通系统(RITS)的智能属性,采用面向智能体的G-net方法构建基于多智能体的仿真系统中的车站和列车运行模型,称为面向智能体的G-net列车运行模型(AGNTOM)。该模型集成了面向对象方法、多智能体技术和Petri网分析方法,体现了面向对象的类、继承、封装等概念,并利用已有的Petri网分析工具来保证仿真系统的设计。此外,在智能体结构设计和分析阶段引入Petri网理论,使多智能体仿真系统能够高效开发。与现有模型相比,AGNTOM具有异步消息传递、对系统框架的更好描述、更强的自主决策和自适应能力等突出特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on train group operation model in RITS
This paper focuses on intelligent attributes of railway intelligent transportation system (RITS) to use agent-oriented G-net approach to construct the model about stations and trains in the simulation system based on multi-agent, which is called agent-oriented G-net train operation model (AGNTOM). The model integrates object-oriented approach, multi-agent technique and Petri nets analysis method, so it embodies the object-oriented concepts including class, inheritance, encapsulation, and utilizes existed Petri nets analysis tools to ensure the design of the simulation system. Furthermore, we use Petri nets theory in agent structure design and analysis phases to make multi-agent simulation system developing efficiently. Compared with existed models, AGNTOM has some prominent features including asynchronous message-passing, better description for the frame of the system, better autonomous decision-making and self-adjustment abilities.
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