Generation of emergency scheme for urban rail transit by case-based reasoning

Abstract

Case-based reasoning (CBR) is a method that uses previous experiences to solve new problems. The characteristics of CBR make it suitable for complex problems related to knowledge reuse. Based on the analysis of the characteristics of emergency events in urban rail transit, a generation method using CBR for emergency scheme is proposed. Certain related technologies, such as case representation, case retrieval, case adaption, case revising and case retaining, are conceived and discussed. A numerical example is used to illustrate the application and efficiency of the proposed method, which can take full advantage of historical correct experiences and benefit to the intelligentization of emergency scheme generation for urban rail transit. © 2010 WIT Press.