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- W2385572285 abstract "In order to reduce the operation cost of the rail transit,and ensure the service level for passengers,this paper aims to study the train routing schemes according to the unbalanced situation of the off-peak passenger flow to the city rail transit. Taken into account of the OD passenger flow,the trains' interval time,the circulation of rolling stocks and the number of routings,the multi-constraints' model with multi-objectives was established to minimize the cost of the operator and the waiting time of passengers. Then different weights of the objective functions were set and the genetic algorithm was utilized to resolve the model. The results show that different decision preference needs different optimization methods using this model. This model flexibly designs the train routing scheme during the off-peak period,which can support the line planning of the urban rail transit and has certain guiding significance." @default.
- W2385572285 created "2016-06-24" @default.
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- W2385572285 date "2015-01-01" @default.
- W2385572285 modified "2023-09-22" @default.
- W2385572285 title "Optimization of the train routing scheme during the off-peak period in urban rail transit" @default.
- W2385572285 hasPublicationYear "2015" @default.
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