基于多智能体的铁路交通管理方法

Jin Liu, Lei Chen, C. Roberts, Zhu Li, Tao Wen
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引用次数: 4

摘要

多智能体系统是以分布式方式解决大型复杂问题的跨学科研究领域。在多智能体系统中,每个智能体都能够适应环境的动态变化,并与其他智能体共同行动以实现全局目标。因此,多智能体系统在不同的研究领域受到了广泛的关注。在本文中,我们提出了一种新的多智能体系统来解决铁路交通管理问题,并提出了一系列小型协同决策策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Multi-agent Based Approach for Railway Traffic Management Problems
Multi-agent system is an interdisciplinary field in modern era which can solve large and complex problems in distributed way. Within a multi-agent system, every agent is able to adapt the dynamic of environment and makes actions together with other agents to achieve a global goal. As a result, multi-agent system attracted lots of attention is different research areas. In this paper, we are proposing a novel multi-agent system for railway traffic management problems, and a series of minor collaborative strategies on decision making for large scale railway network.
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