Research on the auxiliary emergency decision-making system of urban mass transit on the basis of case-based reasoning

被引：0

作者：

Yu, Hong-fei ^{[1
]}

Qin, Yong ^{[1
]}

Wang, Zi-yang ^{[1
]}

Zhao, Zhong-xin ^{[1
]}

Le, Jun ^{[2
]}

机构：

[1] Beijing Jiaotong Univ, Beijing, Peoples R China

[2] Guangzhou Metro Corp, Beijing, Peoples R China

来源：

SUSTAINABLE CITIES DEVELOPMENT AND ENVIRONMENT PROTECTION, PTS 1-3 | 2013年 / 361-363卷

基金：

国家高技术研究发展计划(863计划);

关键词：

urban mass transit; emergency decision-making; case-based reasoning; similarity retrieval;

D O I：

10.4028/www.scientific.net/AMM.361-363.2127

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

To meet the requirement of networked urban mass transit, the characteristics of urban mass transit emergency decision-making was analyzed, draw lessons from the thought of case-based reasoning technology, the method which combine CBR technology with expert knowledge was proposed. On the basis of which, the emergency decision-making support system was designed, analyzed the system structure and function module, discussed the key technologies involved in the system, focused on the representation of retrieval technology and case contingency plans and case. Provides support for the modernization of urban mass transit emergency platform.

引用

页码：2127 / +

页数：2

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