Research on the Auxiliary Emergency Decision-Making System of Urban Mass Transit on the Basis of Case-Based Reasoning

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 361-363)
• Pages: 2127-2133
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.361-363.2127
• Online since: August 2013
• Authors: Hong Fei Yu, Yong Qin, Zi Yang Wang, Zhong Xin Zhao, Jun Li
• Keywords: Case-Based Reasoning (CBR), Emergency Decision-Making, Similarity Retrieval, Urban Mass Transit

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