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Research on Rail Transit Dispatcher Emergency Decision Support Based on Case Similarity Matching
Urban Rail Transit Pub Date : 2022-06-24 , DOI: 10.1007/s40864-022-00170-1
Cheng Fang , Lin Zhu , Zhi-gang Liu , Yu-fen Li , Yuan-chun Huang

To alleviate decision-making pressure on rail transit dispatchers in the emergency handling process, this work sorts out the scenario elements of rail transit emergency cases, establishes a scenario element system, and uses the information weight method to determine the weight of each scenario element. Based on the information of the key decision points, the complete process of emergencies is divided into various scenarios, and an emergency case representation model is constructed. The model establishes a database of historical emergency cases in rail transit, utilizes the scenarios as the search object to match the similarity of emergencies, and provides the decision-making support information to handle the current emergencies. Furthermore, the model constructed in this paper is subjected to an actual emergency case for analysis and calculation, which verify the validity and feasibility of the proposed model.



中文翻译:

基于案例相似匹配的轨道交通调度员应急决策支持研究

为缓解轨道交通调度员在应急处理过程中的决策压力,本文梳理了轨道交通应急案例的场景要素,建立了场景要素体系,采用信息权重法确定了各场景要素的权重。基于关键决策点信息,将突发事件的完整过程划分为各种场景,构建突发事件表示模型。该模型建立了轨道交通历史突发事件的数据库,以场景为搜索对象,匹配突发事件的相似性,为当前突发事件的处理提供决策支持信息。此外,本文构建的模型以一个实际的应急案例进行分析计算,

更新日期:2022-06-24
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