Abstract
Metro accidents are apt to cause serious consequences, such as casualties or heavy economic loss. Once accidents occur, quick and accurate decision-making is essential to prevent emergent accidents from getting worse, which remains a challenge due to the lack of efficient knowledge representation and retrieval. In this research, an ontological method that integrates case-based reasoning (CBR) and natural language processing (NLP) techniques was proposed for metro accident case retrieval. An ontological model was developed to formalize the representation of metro accident knowledge, and then, the CBR aimed to retrieve similar past cases for supporting decision-making after the accident cases were annotated by the NLP technique. Rule-based reasoning (RBR), as a complementary of CBR, was used to decide the appropriate measures based on those that are recorded in regulations, such as emergency plans. A total of 120 metro accident cases were extracted from the safety monthly reports during metro operations and then built into the case library. The proposed method was tested in MyCBR and evaluated by expert reviews, which had an average precision of 91%.
Highlights
The metro has recently become a popular means of public transportation
Given that the number of accidents caused by signal system failures was considerably larger than the number of accidents due to other causes, here, the fault characteristics of the signal system than the number of accidents due to other causes, here, the fault characteristics of the signal system failure were chosen as the index to retrieve similar cases
In knowledge retrieval and reasoning, which can be used to support decision-making in metro accident knowledge retrieval and reasoning, which can be used to support decision-making in metro accident responses
Summary
2016, in China, 44 cities are preparing to construct metro systems and 27 cities are already operating metro systems [1]. As more and more metro lines are put into service, catastrophic accidents occasionally occur during the metro operation, such as turnout failures, signal failures, and terrorist attacks. In the serious Daegu metro accident (18 February 2003), 192 persons died and another 151 were injured [2]. In the metro collision accident in Washington, about 80 persons were injured (22 June 2009) [3]. In the rear-end accident of line ten in Shanghai (27 September 2011), 40 persons were injured and the line operation was interrupted for more than six hours [4]
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