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- W2903856803 abstract "Since urban rail transit system suffers huge daily passenger volume, perturbations maybe cause great impact on daily operation. The characteristics analysis and grade of perturbations are crucial issues about restoring the service of urban rail transit system. Based on Beijing subway perturbations data, the spatial and temporal characteristics are analyzed in this study. Then the grading method is developed based on the k-means algorithm to accommodate the qualitative and quantitative factors of perturbation. Furthermore, a real case of Beijing subway is proposed to validate the effectiveness of the proposed method and five grades of urban rail transit perturbations are obtained." @default.
- W2903856803 created "2018-12-22" @default.
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- W2903856803 date "2018-10-01" @default.
- W2903856803 modified "2023-09-22" @default.
- W2903856803 title "Characteristics Analysis and Impact Cluster on Urban Rail Transit Perturbations: A Real Case in Beijing" @default.
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- W2903856803 doi "https://doi.org/10.1109/smartworld.2018.00040" @default.
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