A fuzzy knowledge-based system for railway traffic control
A fuzzy knowledge-based system for railway traffic control
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DOI：
10.1016/s0952-1976(00)00027-0
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发表时间：
2000-12-01
影响因子：
8
通讯作者：
Fay, A
中科院分区：
文献类型：
--
作者：
Fay, A
现代铁路运输系统对服务的可靠性和可用性提出了更高的要求。在竞争激烈的运输市场中，这一点尤为重要。列车运营商只能通过在交通干扰的情况下快速制定有效的行动来满足这些要求。本文介绍了一种用于铁路运行控制系统的调度支持系统。它还包含专家知识的“IF-THEN”类型的模糊规则。已经提出了各种方法来表示这种知识和推理的基础上。专家系统可以通过结合模糊知识和图形化的描述手段获得显著的成功。本文描述了模糊Petri网的概念，它结合了Petri网的图形功能和模糊集的功能，在决策支持系统中对基于规则的专家知识进行建模。使用这种方法，知识库易于设计、分析、测试、增强和维护。提出了一个列车运行控制辅助系统，并在列车运行控制决策支持应用的背景下，这种模糊Petri网的概念的优点。(C)2001爱思唯尔科技有限公司版权所有。
Modern train traffic systems have to fulfill high requirements on service reliability and availability. This becomes especially important with competitive transport markets. Train operators can only meet these requirements by quickly developing an efficient action in case of traffic disturbances. This paper describes a dispatching support system for use in railway operation control systems. It also contains expert knowledge in fuzzy rules of the "IF-THEN" type. Various methods have been proposed for the representation of this kind of knowledge and for reasoning on this base. Expert systems can gain significant success by incorporating fuzzy knowledge and a graphical means of description. The paper describes a Fuzzy Petri Net notion that combines the graphical power of Petri Nets and the capabilities of Fuzzy Sets to model rule-based expert knowledge in a decision support system. Using this approach, a knowledge base is easy to design, analyze, test, enhance, and maintain. An assistant system for train traffic control is presented, and the advantages of this Fuzzy Petri Net notion are shown in the context of application in train traffic control decision support. (C) 2001 Elsevier Science Ltd. All rights reserved.