Abstract
AbstractIn urban rail transit system, comprehensive analysis of passenger flow status in station and accurate determination of facilities services level offer technological support for station safety operation management, passenger flow control, emergency disposal, etc. Firstly, on the basis of defining the layout of station structure, the evaluation method for service level of facility network is proposed by selecting facilities services level indicators and cloud synthesis theory. Secondly, the dynamic change of the facilities service level is analyzed based on the state membership relation and Markova state transition theory. We integrally realize the evaluation and dynamic prediction of the facilities service level. Finally, combined with station survey and data analysis, feasibility and practicality of service level evaluation method of facility network is verified by a simulation case study.KeywordsUrban rail transitStation facilityService levelCloud modelMarkov chain
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